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 ⌀
Depth Estimation	ScanNet	Atlas (finetuned)	https://arxiv.org/abs/2003.10432v3	RMSE	0.174
Depth Estimation	ScanNet	Atlas (finetuned)	https://arxiv.org/abs/2003.10432v3	absolute relative error	0.089
Depth Estimation	Taskonomy	X-TC (Cross-Task Consistency)	http://openaccess.thecvf.com/content_CVPR_2020/html/Zamir_Robust_Learning_Through_Cross-Task_Consistency_CVPR_2020_paper.html	L1 error	1.63
Depth Estimation	NYU-Depth V2	EVP	https://arxiv.org/abs/2312.08548v1	RMS	0.224
Depth Estimation	NYU-Depth V2	DINOv2 (ViT-g/14 frozen, w/ DPT decoder)	https://arxiv.org/abs/2304.07193v2	RMS	0.279
Depth Estimation	NYU-Depth V2	SwinV2-L 1K-MIM	https://arxiv.org/abs/2205.13543v2	RMS	0.287
Depth Estimation	NYU-Depth V2	Semantic-aware NN	https://arxiv.org/abs/1909.05483v1	RMS	0.30
Depth Estimation	NYU-Depth V2	SwinV2-B 1K-MIM	https://arxiv.org/abs/2205.13543v2	RMS	0.304
Depth Estimation	NYU-Depth V2	P3Depth	https://arxiv.org/abs/2204.02091v1	RMS	0.356
Depth Estimation	NYU-Depth V2	AdaBins	https://arxiv.org/abs/2011.14141v1	RMS	0.364
Depth Estimation	NYU-Depth V2	TransDepth (AGD+ ViT)	https://arxiv.org/abs/2103.12091v2	RMS	0.365
Depth Estimation	NYU-Depth V2	BTS	https://arxiv.org/abs/1907.10326v6	RMS	0.407
Depth Estimation	NYU-Depth V2	VNL	https://arxiv.org/abs/1907.12209v2	RMS	0.416
Depth Estimation	NYU-Depth V2	Optimized, freeform	http://arxiv.org/abs/1904.08601v1	RMS	0.4325
Depth Estimation	NYU-Depth V2	Freeform	http://arxiv.org/abs/1904.08601v1	RMS	0.433
Depth Estimation	NYU-Depth V2	DORN	http://arxiv.org/abs/1806.02446v1	RMS	0.509
Depth Estimation	NYU-Depth V2	MS-CRF	http://arxiv.org/abs/1704.02157v1	RMS	0.586
Depth Estimation	NYU-Depth V2	PAD-Net	http://arxiv.org/abs/1805.04409v1	RMS	0.792
Depth Estimation	NYU-Depth V2	Defocus/DepthNet (Normalized)	https://arxiv.org/abs/2005.09623v1	RMSE	0.013
Depth Estimation	NYU-Depth V2	A2J	https://arxiv.org/abs/1908.09999v1	mAP	8.61
Depth Estimation	KITTI Eigen split	LightDepth	https://arxiv.org/abs/2211.08608v2	Number of parameters (M)	42.6
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	HybridDepth	https://arxiv.org/abs/2407.18443v3	RMSE	0.128
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	HybridDepth	https://arxiv.org/abs/2407.18443v3	absolute relative error	0.026
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	HybridDepth	https://arxiv.org/abs/2407.18443v3	Delta < 1.25	0.988
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	HybridDepth	https://arxiv.org/abs/2407.18443v3	Delta < 1.25^2	1.000
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	HybridDepth	https://arxiv.org/abs/2407.18443v3	Delta < 1.25^3	1.000
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Distill Any Depth	https://arxiv.org/abs/2502.19204v2	absolute relative error	0.043
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Distill Any Depth	https://arxiv.org/abs/2502.19204v2	Delta < 1.25	0.981
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniK3D (FT, metric)	https://arxiv.org/abs/2503.16591v1	RMSE	0.173
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniK3D (FT, metric)	https://arxiv.org/abs/2503.16591v1	absolute relative error	0.044
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniK3D (FT, metric)	https://arxiv.org/abs/2503.16591v1	Delta < 1.25	0.989
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniK3D (FT, metric)	https://arxiv.org/abs/2503.16591v1	Delta < 1.25^2	0.998
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniK3D (FT, metric)	https://arxiv.org/abs/2503.16591v1	Delta < 1.25^3	1.000
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniK3D (FT, metric)	https://arxiv.org/abs/2503.16591v1	log 10	0.019
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepthV2 (FT, metric)	https://arxiv.org/abs/2502.20110v1	RMSE	0.180
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepthV2 (FT, metric)	https://arxiv.org/abs/2502.20110v1	absolute relative error	0.046
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepthV2 (FT, metric)	https://arxiv.org/abs/2502.20110v1	Delta < 1.25	0.988
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepthV2 (FT, metric)	https://arxiv.org/abs/2502.20110v1	Delta < 1.25^2	0.998
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepthV2 (FT, metric)	https://arxiv.org/abs/2502.20110v1	Delta < 1.25^3	1.000
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepthV2 (FT, metric)	https://arxiv.org/abs/2502.20110v1	log 10	0.020
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	PrimeDepth + Depth Anything	https://arxiv.org/abs/2409.09144v1	absolute relative error	0.046
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	PrimeDepth + Depth Anything	https://arxiv.org/abs/2409.09144v1	Delta < 1.25	0.977
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Metric3Dv2(L, FT)	https://arxiv.org/abs/2404.15506v4	RMSE	0.183
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Metric3Dv2(L, FT)	https://arxiv.org/abs/2404.15506v4	absolute relative error	0.047
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Metric3Dv2(L, FT)	https://arxiv.org/abs/2404.15506v4	Delta < 1.25	0.989
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Metric3Dv2(L, FT)	https://arxiv.org/abs/2404.15506v4	Delta < 1.25^2	0.998
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Metric3Dv2(L, FT)	https://arxiv.org/abs/2404.15506v4	Delta < 1.25^3	1.000
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Metric3Dv2(L, FT)	https://arxiv.org/abs/2404.15506v4	log 10	0.020
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	DepthMaster	https://arxiv.org/abs/2501.02576v1	absolute relative error	0.050
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	DepthMaster	https://arxiv.org/abs/2501.02576v1	Delta < 1.25	0.972
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	GRIN	https://arxiv.org/abs/2409.09896v1	RMSE	0.251
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	GRIN	https://arxiv.org/abs/2409.09896v1	absolute relative error	0.051
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Marigold + E2E FT(zero-shot)	https://arxiv.org/abs/2409.11355v1	absolute relative error	0.052
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Marigold + E2E FT(zero-shot)	https://arxiv.org/abs/2409.11355v1	Delta < 1.25	0.966
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Marigold	https://arxiv.org/abs/2312.02145v2	RMSE	0.224
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Marigold	https://arxiv.org/abs/2312.02145v2	absolute relative error	0.055
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Marigold	https://arxiv.org/abs/2312.02145v2	Delta < 1.25	0.964
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Marigold	https://arxiv.org/abs/2312.02145v2	Delta < 1.25^2	0.991
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Marigold	https://arxiv.org/abs/2312.02145v2	Delta < 1.25^3	0.998
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Marigold	https://arxiv.org/abs/2312.02145v2	log 10	0.024
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Depth Anything	https://arxiv.org/abs/2401.10891v2	RMSE	0.206
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Depth Anything	https://arxiv.org/abs/2401.10891v2	absolute relative error	0.056
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Depth Anything	https://arxiv.org/abs/2401.10891v2	Delta < 1.25	0.984
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Depth Anything	https://arxiv.org/abs/2401.10891v2	Delta < 1.25^2	0.998
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Depth Anything	https://arxiv.org/abs/2401.10891v2	Delta < 1.25^3	1.000
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	Depth Anything	https://arxiv.org/abs/2401.10891v2	log 10	0.024
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepth (Zero-shot)	https://arxiv.org/abs/2403.18913v1	RMSE	0.201
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepth (Zero-shot)	https://arxiv.org/abs/2403.18913v1	absolute relative error	0.058
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepth (Zero-shot)	https://arxiv.org/abs/2403.18913v1	Delta < 1.25	0.984
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepth (Zero-shot)	https://arxiv.org/abs/2403.18913v1	Delta < 1.25^2	0.997
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepth (Zero-shot)	https://arxiv.org/abs/2403.18913v1	Delta < 1.25^3	0.999
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	UniDepth (Zero-shot)	https://arxiv.org/abs/2403.18913v1	log 10	0.024
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	PrimeDepth	https://arxiv.org/abs/2409.09144v1	absolute relative error	0.058
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	PrimeDepth	https://arxiv.org/abs/2409.09144v1	Delta < 1.25	0.966
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	ECoDepth	https://arxiv.org/abs/2403.18807v4	RMSE	0.218
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	ECoDepth	https://arxiv.org/abs/2403.18807v4	absolute relative error	0.059
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	ECoDepth	https://arxiv.org/abs/2403.18807v4	Delta < 1.25	0.978
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	ECoDepth	https://arxiv.org/abs/2403.18807v4	Delta < 1.25^2	0.997
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	ECoDepth	https://arxiv.org/abs/2403.18807v4	Delta < 1.25^3	0.999
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	ECoDepth	https://arxiv.org/abs/2403.18807v4	log 10	0.026
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	MetaPrompt-SD	https://arxiv.org/abs/2312.14733v1	RMSE	0.223
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	MetaPrompt-SD	https://arxiv.org/abs/2312.14733v1	absolute relative error	0.061
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	MetaPrompt-SD	https://arxiv.org/abs/2312.14733v1	Delta < 1.25	0.976
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	MetaPrompt-SD	https://arxiv.org/abs/2312.14733v1	Delta < 1.25^2	0.997
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	MetaPrompt-SD	https://arxiv.org/abs/2312.14733v1	Delta < 1.25^3	0.999
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	MetaPrompt-SD	https://arxiv.org/abs/2312.14733v1	log 10	0.027
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	EVP	https://arxiv.org/abs/2312.08548v1	RMSE	0.224
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	EVP	https://arxiv.org/abs/2312.08548v1	absolute relative error	0.061
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	EVP	https://arxiv.org/abs/2312.08548v1	Delta < 1.25	0.976
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	EVP	https://arxiv.org/abs/2312.08548v1	Delta < 1.25^2	0.997
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	EVP	https://arxiv.org/abs/2312.08548v1	Delta < 1.25^3	0.999
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	EVP	https://arxiv.org/abs/2312.08548v1	log 10	0.027
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	TADP	https://arxiv.org/abs/2310.00031v3	RMSE	0.225
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	TADP	https://arxiv.org/abs/2310.00031v3	absolute relative error	0.062
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	TADP	https://arxiv.org/abs/2310.00031v3	Delta < 1.25	0.976
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	TADP	https://arxiv.org/abs/2310.00031v3	Delta < 1.25^2	0.997
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	TADP	https://arxiv.org/abs/2310.00031v3	Delta < 1.25^3	0.999
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	TADP	https://arxiv.org/abs/2310.00031v3	log 10	0.027
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	FutureDepth	https://arxiv.org/abs/2403.12953v2	RMSE	0.233
Depth Estimation > Monocular Depth Estimation	NYU-Depth V2	FutureDepth	https://arxiv.org/abs/2403.12953v2	absolute relative error	0.063

Depth Estimation

ScanNet

Atlas (finetuned)

https://arxiv.org/abs/2003.10432v3

RMSE

0.174

Depth Estimation

ScanNet

Atlas (finetuned)

https://arxiv.org/abs/2003.10432v3

absolute relative error

0.089

Depth Estimation

Taskonomy

X-TC (Cross-Task Consistency)

http://openaccess.thecvf.com/content_CVPR_2020/html/Zamir_Robust_Learning_Through_Cross-Task_Consistency_CVPR_2020_paper.html

L1 error

1.63

Depth Estimation

NYU-Depth V2

EVP

https://arxiv.org/abs/2312.08548v1

RMS

0.224

Depth Estimation

NYU-Depth V2

DINOv2 (ViT-g/14 frozen, w/ DPT decoder)

https://arxiv.org/abs/2304.07193v2

RMS

0.279

Depth Estimation

NYU-Depth V2

SwinV2-L 1K-MIM

https://arxiv.org/abs/2205.13543v2

RMS

0.287

Depth Estimation

NYU-Depth V2

Semantic-aware NN

https://arxiv.org/abs/1909.05483v1

RMS

0.30

Depth Estimation

NYU-Depth V2

SwinV2-B 1K-MIM

https://arxiv.org/abs/2205.13543v2

RMS

0.304

Depth Estimation

NYU-Depth V2

P3Depth

https://arxiv.org/abs/2204.02091v1

RMS

0.356

Depth Estimation

NYU-Depth V2

AdaBins

https://arxiv.org/abs/2011.14141v1

RMS

0.364

Depth Estimation

NYU-Depth V2

TransDepth (AGD+ ViT)

https://arxiv.org/abs/2103.12091v2

RMS

0.365

Depth Estimation

NYU-Depth V2

BTS

https://arxiv.org/abs/1907.10326v6

RMS

0.407

Depth Estimation

NYU-Depth V2

VNL

https://arxiv.org/abs/1907.12209v2

RMS

0.416

Depth Estimation

NYU-Depth V2

Optimized, freeform

http://arxiv.org/abs/1904.08601v1

RMS

0.4325

Depth Estimation

NYU-Depth V2

Freeform

http://arxiv.org/abs/1904.08601v1

RMS

0.433

Depth Estimation

NYU-Depth V2

DORN

http://arxiv.org/abs/1806.02446v1

RMS

0.509

Depth Estimation

NYU-Depth V2

MS-CRF

http://arxiv.org/abs/1704.02157v1

RMS

0.586

Depth Estimation

NYU-Depth V2

PAD-Net

http://arxiv.org/abs/1805.04409v1

RMS

0.792

Depth Estimation

NYU-Depth V2

Defocus/DepthNet (Normalized)

https://arxiv.org/abs/2005.09623v1

RMSE

0.013

Depth Estimation

NYU-Depth V2

A2J

https://arxiv.org/abs/1908.09999v1

mAP

8.61

Depth Estimation

KITTI Eigen split

LightDepth

https://arxiv.org/abs/2211.08608v2

Number of parameters (M)

42.6