felixleungsc/paperswithcode-data-evaluation-tables

task_path stringlengths 3 199 ⌀	dataset stringlengths 1 128 ⌀	model_name stringlengths 1 223 ⌀	paper_url stringlengths 21 601 ⌀	metric_name stringlengths 1 50 ⌀	metric_value stringlengths 1 9.22k ⌀
3D Human Pose Tracking > Motion Synthesis	AIST++	EDGE (w=1)	https://arxiv.org/abs/2211.10658v2	Beat alignment score	0.27
3D Human Pose Tracking > Motion Synthesis	AIST++	EDGE (w=2)	https://arxiv.org/abs/2211.10658v2	Beat alignment score	0.26
3D Human Pose Tracking > Motion Synthesis	LaFAN1	$\Delta$-interpolator	https://arxiv.org/abs/2201.06701v4	L2Q@5	0.11
3D Human Pose Tracking > Motion Synthesis	LaFAN1	$\Delta$-interpolator	https://arxiv.org/abs/2201.06701v4	L2Q@15	0.32
3D Human Pose Tracking > Motion Synthesis	LaFAN1	$\Delta$-interpolator	https://arxiv.org/abs/2201.06701v4	L2Q@30	0.57
3D Human Pose Tracking > Motion Synthesis	LaFAN1	$\Delta$-interpolator	https://arxiv.org/abs/2201.06701v4	L2P@5	0.13
3D Human Pose Tracking > Motion Synthesis	LaFAN1	$\Delta$-interpolator	https://arxiv.org/abs/2201.06701v4	L2P@15	0.47
3D Human Pose Tracking > Motion Synthesis	LaFAN1	$\Delta$-interpolator	https://arxiv.org/abs/2201.06701v4	NPSS@5	0.0014
3D Human Pose Tracking > Motion Synthesis	LaFAN1	$\Delta$-interpolator	https://arxiv.org/abs/2201.06701v4	NPSS@15	0.0217
3D Human Pose Tracking > Motion Synthesis	LaFAN1	$\Delta$-interpolator	https://arxiv.org/abs/2201.06701v4	NPSS@30	0.1217
3D Human Pose Tracking > Motion Synthesis	LaFAN1	$\Delta$-interpolator	https://arxiv.org/abs/2201.06701v4	L2P@30	1.00
3D Human Pose Tracking > Motion Synthesis	LaFAN1	SSMCT	https://arxiv.org/abs/2103.00776v1	L2Q@5	0.14
3D Human Pose Tracking > Motion Synthesis	LaFAN1	SSMCT	https://arxiv.org/abs/2103.00776v1	L2Q@15	0.36
3D Human Pose Tracking > Motion Synthesis	LaFAN1	SSMCT	https://arxiv.org/abs/2103.00776v1	L2Q@30	0.61
3D Human Pose Tracking > Motion Synthesis	LaFAN1	SSMCT	https://arxiv.org/abs/2103.00776v1	L2P@5	0.22
3D Human Pose Tracking > Motion Synthesis	LaFAN1	SSMCT	https://arxiv.org/abs/2103.00776v1	L2P@15	0.56
3D Human Pose Tracking > Motion Synthesis	LaFAN1	SSMCT	https://arxiv.org/abs/2103.00776v1	NPSS@5	0.0016
3D Human Pose Tracking > Motion Synthesis	LaFAN1	SSMCT	https://arxiv.org/abs/2103.00776v1	NPSS@15	0.0234
3D Human Pose Tracking > Motion Synthesis	LaFAN1	SSMCT	https://arxiv.org/abs/2103.00776v1	NPSS@30	0.1222
3D Human Pose Tracking > Motion Synthesis	LaFAN1	SSMCT	https://arxiv.org/abs/2103.00776v1	L2P@30	1.1
3D Human Pose Tracking > Motion Synthesis	LaFAN1	TG-complete	https://arxiv.org/abs/2102.04942v1	L2Q@5	0.17
3D Human Pose Tracking > Motion Synthesis	LaFAN1	TG-complete	https://arxiv.org/abs/2102.04942v1	L2Q@15	0.42
3D Human Pose Tracking > Motion Synthesis	LaFAN1	TG-complete	https://arxiv.org/abs/2102.04942v1	L2Q@30	0.69
3D Human Pose Tracking > Motion Synthesis	LaFAN1	TG-complete	https://arxiv.org/abs/2102.04942v1	L2P@5	0.23
3D Human Pose Tracking > Motion Synthesis	LaFAN1	TG-complete	https://arxiv.org/abs/2102.04942v1	L2P@15	0.65
3D Human Pose Tracking > Motion Synthesis	LaFAN1	TG-complete	https://arxiv.org/abs/2102.04942v1	NPSS@5	0.002
3D Human Pose Tracking > Motion Synthesis	LaFAN1	TG-complete	https://arxiv.org/abs/2102.04942v1	NPSS@15	0.0258
3D Human Pose Tracking > Motion Synthesis	LaFAN1	TG-complete	https://arxiv.org/abs/2102.04942v1	NPSS@30	0.1328
3D Human Pose Tracking > Motion Synthesis	LaFAN1	TG-complete	https://arxiv.org/abs/2102.04942v1	L2P@30	1.28
3D Human Pose Tracking > Motion Synthesis	LaFAN1	HM-VAE	https://arxiv.org/abs/2106.04004v1	L2Q@5	0.24
3D Human Pose Tracking > Motion Synthesis	LaFAN1	HM-VAE	https://arxiv.org/abs/2106.04004v1	L2Q@15	0.54
3D Human Pose Tracking > Motion Synthesis	LaFAN1	HM-VAE	https://arxiv.org/abs/2106.04004v1	L2Q@30	0.94
Video Chaptering	VidChapters-7M	Chapter-Llama	https://arxiv.org/abs/2504.00072v1	P@5s	52.0
Video Chaptering	VidChapters-7M	Vid2Seq	https://arxiv.org/abs/2309.13952v1	R@5s	36.4
Video Chaptering	VidChapters-7M	Vid2Seq	https://arxiv.org/abs/2309.13952v1	R@3s	28.5
Video Chaptering	VidChapters-7M	Vid2Seq	https://arxiv.org/abs/2309.13952v1	[email protected]	48.2
Video Chaptering	VidChapters-7M	Vid2Seq	https://arxiv.org/abs/2309.13952v1	[email protected]	28.5
Video Chaptering	VidChapters-7M	Vid2Seq	https://arxiv.org/abs/2309.13952v1	P@5s	30.3
Video Chaptering	VidChapters-7M	Vid2Seq	https://arxiv.org/abs/2309.13952v1	P@3s	24.0
Video Chaptering	VidChapters-7M	Vid2Seq	https://arxiv.org/abs/2309.13952v1	[email protected]	43.1
Video Chaptering	VidChapters-7M	Vid2Seq	https://arxiv.org/abs/2309.13952v1	[email protected]	26.4
Video Chaptering	VidChapters-7M	Vid2Seq	https://arxiv.org/abs/2309.13952v1	CIDEr	55.7
Video Chaptering	VidChapters-7M	Vid2Seq	https://arxiv.org/abs/2309.13952v1	SODA	0.114
2D Panoptic Segmentation	MM-OR	MM-OR	https://arxiv.org/abs/2503.02579v1	VPQ	67.5
2D Panoptic Segmentation	ScanNetV2	EMSANet (2x ResNet-34 NBt1D, PanopticNDT version)	https://arxiv.org/abs/2309.13635v2	PQ	58.22
2D Panoptic Segmentation	4D-OR	MM-OR	https://arxiv.org/abs/2503.02579v1	VPQ	71.8
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	Waymo Open Dataset	CUPS (54 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	27.3
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	Waymo Open Dataset	CUPS (40 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	27.2
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	Waymo Open Dataset	CUPS (27 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	26.4
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	Waymo Open Dataset	U2Seg	https://arxiv.org/abs/2312.17243v1	PQ	19.8
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	Cityscapes	CUPS (54 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	30.6
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	Cityscapes	CUPS (40 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	30.3
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	Cityscapes	CUPS (27 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	27.8
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	Cityscapes	U2Seg (827 pseudo-classes)	https://arxiv.org/abs/2312.17243v1	PQ	18.4
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	Cityscapes	DepthG + CutLER	https://arxiv.org/abs/2309.12378v2	PQ	16.1
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	COCO val2017	U2Seg	https://arxiv.org/abs/2312.17243v1	PQ	16.1
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	COCO val2017	U2Seg	https://arxiv.org/abs/2312.17243v1	SQ	71.1
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	COCO val2017	U2Seg	https://arxiv.org/abs/2312.17243v1	RQ	19.9
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	COCO val2017	CutLER+STEGO	https://arxiv.org/abs/2301.11320v1	PQ	12.4
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	COCO val2017	CutLER+STEGO	https://arxiv.org/abs/2301.11320v1	SQ	36.1
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	COCO val2017	CutLER+STEGO	https://arxiv.org/abs/2301.11320v1	RQ	15.2
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	MUSES: MUlti-SEnsor Semantic perception dataset	CUPS (40 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	28.2
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	MUSES: MUlti-SEnsor Semantic perception dataset	CUPS (27 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	24.4
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	MUSES: MUlti-SEnsor Semantic perception dataset	CUPS (54 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	22.8
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	MUSES: MUlti-SEnsor Semantic perception dataset	U2Seg	https://arxiv.org/abs/2312.17243v1	PQ	20.3
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	BDD100K val	CUPS (40 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	21.9
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	BDD100K val	CUPS (54 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	21.8
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	BDD100K val	CUPS (27 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	19.9
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	BDD100K val	U2Seg	https://arxiv.org/abs/2312.17243v1	PQ	15.8
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	KITTI	CUPS (54 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	28.5
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	KITTI	CUPS (40 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	28.1
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	KITTI	CUPS (27 pseudo-classes)	https://arxiv.org/abs/2504.01955v1	PQ	25.5
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation	KITTI	U2Seg	https://arxiv.org/abs/2312.17243v1	PQ	20.6
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation > Unsupervised Zero-Shot Panoptic Segmentation	COCO val2017	U2Seg	https://arxiv.org/abs/2312.17243v1	PQ	11.1
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation > Unsupervised Zero-Shot Panoptic Segmentation	COCO val2017	U2Seg	https://arxiv.org/abs/2312.17243v1	SQ	60.1
2D Panoptic Segmentation > Unsupervised Panoptic Segmentation > Unsupervised Zero-Shot Panoptic Segmentation	COCO val2017	U2Seg	https://arxiv.org/abs/2312.17243v1	RQ	13.7
Open Vocabulary Action Detection	UCF101-24	SiA	https://arxiv.org/abs/2504.03096v1	val mAP	42.6
Open Vocabulary Action Detection	JHMDB	SiA	https://arxiv.org/abs/2504.03096v1	val mAP	57.1
Open Vocabulary Action Detection	MultiSports	SiA	https://arxiv.org/abs/2504.03096v1	val mAP	1.3
Room Layout Estimation	SUN RGB-D	IM3D	https://arxiv.org/abs/2103.06422v3	IoU	64.4
Room Layout Estimation	SUN RGB-D	IM3D	https://arxiv.org/abs/2103.06422v3	Camera Pitch	2.98
Room Layout Estimation	SUN RGB-D	IM3D	https://arxiv.org/abs/2103.06422v3	Camera Roll	2.11
Room Layout Estimation	SUN RGB-D	ImVoxelNet	https://arxiv.org/abs/2106.01178v3	IoU	59.3
Room Layout Estimation	SUN RGB-D	ImVoxelNet	https://arxiv.org/abs/2106.01178v3	Camera Pitch	2.63
Room Layout Estimation	SUN RGB-D	ImVoxelNet	https://arxiv.org/abs/2106.01178v3	Camera Roll	1.96
Room Layout Estimation	SUN RGB-D	Total3D joint	https://arxiv.org/abs/2002.12212v1	IoU	59.2
Room Layout Estimation	SUN RGB-D	Total3D joint	https://arxiv.org/abs/2002.12212v1	Camera Pitch	3.15
Room Layout Estimation	SUN RGB-D	Total3D joint	https://arxiv.org/abs/2002.12212v1	Camera Roll	2.09
Room Layout Estimation	SUN RGB-D	Total w/o. joint	https://arxiv.org/abs/2002.12212v1	IoU	57.6
Room Layout Estimation	SUN RGB-D	Total w/o. joint	https://arxiv.org/abs/2002.12212v1	Camera Pitch	3.68
Room Layout Estimation	SUN RGB-D	Total w/o. joint	https://arxiv.org/abs/2002.12212v1	Camera Roll	2.59
Room Layout Estimation	SUN RGB-D	Cooperative	http://arxiv.org/abs/1810.13049v2	IoU	56.9
Room Layout Estimation	SUN RGB-D	Cooperative	http://arxiv.org/abs/1810.13049v2	Camera Pitch	3.28
Room Layout Estimation	SUN RGB-D	Cooperative	http://arxiv.org/abs/1810.13049v2	Camera Roll	2.19
Room Layout Estimation	SUN RGB-D	Holistic	http://arxiv.org/abs/1808.02201v1	IoU	54.9
Room Layout Estimation	SUN RGB-D	Holistic	http://arxiv.org/abs/1808.02201v1	Camera Pitch	7.60
Room Layout Estimation	SUN RGB-D	Holistic	http://arxiv.org/abs/1808.02201v1	Camera Roll	3.12
Room Layout Estimation	SUN RGB-D	3DGP	http://openaccess.thecvf.com/content_cvpr_2013/html/Choi_Understanding_Indoor_Scenes_2013_CVPR_paper.html	IoU	19.2
Full reference image quality assessment	DRIQ	MDSI	http://arxiv.org/abs/1608.07433v4	SRCC	0.8508
Full reference image quality assessment	DRIQ	MDSI	http://arxiv.org/abs/1608.07433v4	PLCC	0.8702

3D Human Pose Tracking > Motion Synthesis

AIST++

EDGE (w=1)

https://arxiv.org/abs/2211.10658v2

Beat alignment score

0.27

3D Human Pose Tracking > Motion Synthesis

AIST++

EDGE (w=2)

https://arxiv.org/abs/2211.10658v2

Beat alignment score

0.26

3D Human Pose Tracking > Motion Synthesis

LaFAN1

$\Delta$-interpolator

https://arxiv.org/abs/2201.06701v4

L2Q@5

0.11

3D Human Pose Tracking > Motion Synthesis

LaFAN1

$\Delta$-interpolator

https://arxiv.org/abs/2201.06701v4

L2Q@15

0.32

3D Human Pose Tracking > Motion Synthesis

LaFAN1

$\Delta$-interpolator

https://arxiv.org/abs/2201.06701v4

L2Q@30

0.57

3D Human Pose Tracking > Motion Synthesis

LaFAN1

$\Delta$-interpolator

https://arxiv.org/abs/2201.06701v4

L2P@5

0.13

3D Human Pose Tracking > Motion Synthesis

LaFAN1

$\Delta$-interpolator

https://arxiv.org/abs/2201.06701v4

L2P@15

0.47

3D Human Pose Tracking > Motion Synthesis

LaFAN1

$\Delta$-interpolator

https://arxiv.org/abs/2201.06701v4

NPSS@5

0.0014

3D Human Pose Tracking > Motion Synthesis

LaFAN1

$\Delta$-interpolator

https://arxiv.org/abs/2201.06701v4

NPSS@15

0.0217

3D Human Pose Tracking > Motion Synthesis

LaFAN1

$\Delta$-interpolator

https://arxiv.org/abs/2201.06701v4

NPSS@30

0.1217

3D Human Pose Tracking > Motion Synthesis

LaFAN1

$\Delta$-interpolator

https://arxiv.org/abs/2201.06701v4

L2P@30

1.00

3D Human Pose Tracking > Motion Synthesis

LaFAN1

SSMCT

https://arxiv.org/abs/2103.00776v1

L2Q@5

0.14

3D Human Pose Tracking > Motion Synthesis

LaFAN1

SSMCT

https://arxiv.org/abs/2103.00776v1

L2Q@15

0.36

3D Human Pose Tracking > Motion Synthesis

LaFAN1

SSMCT

https://arxiv.org/abs/2103.00776v1

L2Q@30

0.61

3D Human Pose Tracking > Motion Synthesis

LaFAN1

SSMCT

https://arxiv.org/abs/2103.00776v1

L2P@5

0.22

3D Human Pose Tracking > Motion Synthesis

LaFAN1

SSMCT

https://arxiv.org/abs/2103.00776v1

L2P@15

0.56

3D Human Pose Tracking > Motion Synthesis

LaFAN1

SSMCT

https://arxiv.org/abs/2103.00776v1

NPSS@5

0.0016

3D Human Pose Tracking > Motion Synthesis

LaFAN1

SSMCT

https://arxiv.org/abs/2103.00776v1

NPSS@15

0.0234

3D Human Pose Tracking > Motion Synthesis

LaFAN1

SSMCT

https://arxiv.org/abs/2103.00776v1

NPSS@30

0.1222

3D Human Pose Tracking > Motion Synthesis

LaFAN1

SSMCT

https://arxiv.org/abs/2103.00776v1

L2P@30

1.1

3D Human Pose Tracking > Motion Synthesis

LaFAN1

TG-complete

https://arxiv.org/abs/2102.04942v1

L2Q@5

0.17

3D Human Pose Tracking > Motion Synthesis

LaFAN1

TG-complete

https://arxiv.org/abs/2102.04942v1

L2Q@15

0.42

3D Human Pose Tracking > Motion Synthesis

LaFAN1

TG-complete

https://arxiv.org/abs/2102.04942v1

L2Q@30

0.69

3D Human Pose Tracking > Motion Synthesis

LaFAN1

TG-complete

https://arxiv.org/abs/2102.04942v1

L2P@5

0.23

3D Human Pose Tracking > Motion Synthesis

LaFAN1

TG-complete

https://arxiv.org/abs/2102.04942v1

L2P@15

0.65

3D Human Pose Tracking > Motion Synthesis

LaFAN1

TG-complete

https://arxiv.org/abs/2102.04942v1

NPSS@5

0.002

3D Human Pose Tracking > Motion Synthesis

LaFAN1

TG-complete

https://arxiv.org/abs/2102.04942v1

NPSS@15

0.0258

3D Human Pose Tracking > Motion Synthesis

LaFAN1

TG-complete

https://arxiv.org/abs/2102.04942v1

NPSS@30

0.1328

3D Human Pose Tracking > Motion Synthesis

LaFAN1

TG-complete

https://arxiv.org/abs/2102.04942v1

L2P@30

1.28

3D Human Pose Tracking > Motion Synthesis

LaFAN1

HM-VAE

https://arxiv.org/abs/2106.04004v1

L2Q@5

0.24

3D Human Pose Tracking > Motion Synthesis

LaFAN1

HM-VAE

https://arxiv.org/abs/2106.04004v1

L2Q@15

0.54

3D Human Pose Tracking > Motion Synthesis

LaFAN1

HM-VAE

https://arxiv.org/abs/2106.04004v1

L2Q@30

0.94

Video Chaptering

VidChapters-7M

Chapter-Llama

https://arxiv.org/abs/2504.00072v1

P@5s

52.0

Video Chaptering

VidChapters-7M

Vid2Seq

https://arxiv.org/abs/2309.13952v1

R@5s

36.4

Video Chaptering

VidChapters-7M

Vid2Seq

https://arxiv.org/abs/2309.13952v1

R@3s

28.5

Video Chaptering

VidChapters-7M

Vid2Seq

https://arxiv.org/abs/2309.13952v1

[email protected]

48.2

Video Chaptering

VidChapters-7M

Vid2Seq

https://arxiv.org/abs/2309.13952v1

[email protected]

28.5

Video Chaptering

VidChapters-7M

Vid2Seq

https://arxiv.org/abs/2309.13952v1

P@5s

30.3

Video Chaptering

VidChapters-7M

Vid2Seq

https://arxiv.org/abs/2309.13952v1

P@3s

24.0

Video Chaptering

VidChapters-7M

Vid2Seq

https://arxiv.org/abs/2309.13952v1

[email protected]

43.1

Video Chaptering

VidChapters-7M

Vid2Seq

https://arxiv.org/abs/2309.13952v1

[email protected]

26.4

Video Chaptering

VidChapters-7M

Vid2Seq

https://arxiv.org/abs/2309.13952v1

CIDEr

55.7

Video Chaptering

VidChapters-7M

Vid2Seq

https://arxiv.org/abs/2309.13952v1

SODA

0.114

2D Panoptic Segmentation

MM-OR

https://arxiv.org/abs/2503.02579v1

VPQ

67.5

2D Panoptic Segmentation

ScanNetV2

EMSANet (2x ResNet-34 NBt1D, PanopticNDT version)

https://arxiv.org/abs/2309.13635v2

PQ

58.22

2D Panoptic Segmentation

4D-OR

MM-OR

https://arxiv.org/abs/2503.02579v1

VPQ

71.8

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

Waymo Open Dataset

CUPS (54 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

27.3

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

Waymo Open Dataset

CUPS (40 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

27.2

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

Waymo Open Dataset

CUPS (27 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

26.4

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

Waymo Open Dataset

U2Seg

https://arxiv.org/abs/2312.17243v1

PQ

19.8

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

Cityscapes

CUPS (54 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

30.6

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

Cityscapes

CUPS (40 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

30.3

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

Cityscapes

CUPS (27 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

27.8

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

Cityscapes

U2Seg (827 pseudo-classes)

https://arxiv.org/abs/2312.17243v1

PQ

18.4

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

Cityscapes

DepthG + CutLER

https://arxiv.org/abs/2309.12378v2

PQ

16.1

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

COCO val2017

U2Seg

https://arxiv.org/abs/2312.17243v1

PQ

16.1

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

COCO val2017

U2Seg

https://arxiv.org/abs/2312.17243v1

SQ

71.1

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

COCO val2017

U2Seg

https://arxiv.org/abs/2312.17243v1

RQ

19.9

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

COCO val2017

CutLER+STEGO

https://arxiv.org/abs/2301.11320v1

PQ

12.4

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

COCO val2017

CutLER+STEGO

https://arxiv.org/abs/2301.11320v1

SQ

36.1

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

COCO val2017

CutLER+STEGO

https://arxiv.org/abs/2301.11320v1

RQ

15.2

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

MUSES: MUlti-SEnsor Semantic perception dataset

CUPS (40 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

28.2

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

MUSES: MUlti-SEnsor Semantic perception dataset

CUPS (27 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

24.4

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

MUSES: MUlti-SEnsor Semantic perception dataset

CUPS (54 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

22.8

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

MUSES: MUlti-SEnsor Semantic perception dataset

U2Seg

https://arxiv.org/abs/2312.17243v1

PQ

20.3

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

BDD100K val

CUPS (40 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

21.9

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

BDD100K val

CUPS (54 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

21.8

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

BDD100K val

CUPS (27 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

19.9

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

BDD100K val

U2Seg

https://arxiv.org/abs/2312.17243v1

PQ

15.8

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

KITTI

CUPS (54 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

28.5

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

KITTI

CUPS (40 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

28.1

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

KITTI

CUPS (27 pseudo-classes)

https://arxiv.org/abs/2504.01955v1

PQ

25.5

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation

KITTI

U2Seg

https://arxiv.org/abs/2312.17243v1

PQ

20.6

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation > Unsupervised Zero-Shot Panoptic Segmentation

COCO val2017

U2Seg

https://arxiv.org/abs/2312.17243v1

PQ

11.1

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation > Unsupervised Zero-Shot Panoptic Segmentation

COCO val2017

U2Seg

https://arxiv.org/abs/2312.17243v1

SQ

60.1

2D Panoptic Segmentation > Unsupervised Panoptic Segmentation > Unsupervised Zero-Shot Panoptic Segmentation

COCO val2017

U2Seg

https://arxiv.org/abs/2312.17243v1

RQ

13.7

Open Vocabulary Action Detection

UCF101-24

SiA

https://arxiv.org/abs/2504.03096v1

val mAP

42.6

Open Vocabulary Action Detection

JHMDB

SiA

https://arxiv.org/abs/2504.03096v1

val mAP

57.1

Open Vocabulary Action Detection

MultiSports

SiA

https://arxiv.org/abs/2504.03096v1

val mAP

1.3

Room Layout Estimation

SUN RGB-D

IM3D

https://arxiv.org/abs/2103.06422v3

IoU

64.4

Room Layout Estimation

SUN RGB-D

IM3D

https://arxiv.org/abs/2103.06422v3

Camera Pitch

2.98

Room Layout Estimation

SUN RGB-D

IM3D

https://arxiv.org/abs/2103.06422v3

Camera Roll

2.11

Room Layout Estimation

SUN RGB-D

ImVoxelNet

https://arxiv.org/abs/2106.01178v3

IoU

59.3

Room Layout Estimation

SUN RGB-D

ImVoxelNet

https://arxiv.org/abs/2106.01178v3

Camera Pitch

2.63

Room Layout Estimation

SUN RGB-D

ImVoxelNet

https://arxiv.org/abs/2106.01178v3

Camera Roll

1.96

Room Layout Estimation

SUN RGB-D

Total3D joint

https://arxiv.org/abs/2002.12212v1

IoU

59.2

Room Layout Estimation

SUN RGB-D

Total3D joint

https://arxiv.org/abs/2002.12212v1

Camera Pitch

3.15

Room Layout Estimation

SUN RGB-D

Total3D joint

https://arxiv.org/abs/2002.12212v1

Camera Roll

2.09

Room Layout Estimation

SUN RGB-D

Total w/o. joint

https://arxiv.org/abs/2002.12212v1

IoU

57.6

Room Layout Estimation

SUN RGB-D

Total w/o. joint

https://arxiv.org/abs/2002.12212v1

Camera Pitch

3.68

Room Layout Estimation

SUN RGB-D

Total w/o. joint

https://arxiv.org/abs/2002.12212v1

Camera Roll

2.59

Room Layout Estimation

SUN RGB-D

Cooperative

http://arxiv.org/abs/1810.13049v2

IoU

56.9

Room Layout Estimation

SUN RGB-D

Cooperative

http://arxiv.org/abs/1810.13049v2

Camera Pitch

3.28

Room Layout Estimation

SUN RGB-D

Cooperative

http://arxiv.org/abs/1810.13049v2

Camera Roll

2.19

Room Layout Estimation

SUN RGB-D

Holistic

http://arxiv.org/abs/1808.02201v1

IoU

54.9

Room Layout Estimation

SUN RGB-D

Holistic

http://arxiv.org/abs/1808.02201v1

Camera Pitch

7.60

Room Layout Estimation

SUN RGB-D

Holistic

http://arxiv.org/abs/1808.02201v1

Camera Roll

3.12

Room Layout Estimation

SUN RGB-D

3DGP

http://openaccess.thecvf.com/content_cvpr_2013/html/Choi_Understanding_Indoor_Scenes_2013_CVPR_paper.html

IoU

19.2

Full reference image quality assessment

DRIQ

MDSI

http://arxiv.org/abs/1608.07433v4

SRCC

0.8508

Full reference image quality assessment

DRIQ

MDSI

http://arxiv.org/abs/1608.07433v4

PLCC

0.8702