Depth Estimation

Depth Estimation is the task of measuring the distance of each pixel relative to the camera. Depth is extracted from either monocular (single) or stereo (multiple views of a scene) images. Traditional methods use multi-view geometry to find the relationship between the images. Newer methods can directly estimate depth by minimizing the regression loss, or by learning to generate a novel view from a sequence. The most popular benchmarks are KITTI and NYUv2. Models are typically evaluated according to a RMS metric.

Source: DIODE: A Dense Indoor and Outdoor DEpth Dataset

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1926–1950 of 2454 papers

Title	Date	Tasks	Status	Hype
Fusion of Real Time Thermal Image and 1D/2D/3D Depth Laser Readings for Remote Thermal Sensing in Industrial Plants by Means of UAVs and/or Robots	Jun 1, 2020	Depth Estimation	—Unverified	0
Monocular Depth Estimators: Vulnerabilities and Attacks	May 28, 2020	DecoderDepth Estimation	—Unverified	0
Self-Attention Dense Depth Estimation Network for Unrectified Video Sequences	May 28, 2020	Depth Estimation	—Unverified	0
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding	May 27, 2020	3D Object DetectionDepth Estimation	—Unverified	0
Visual Localization Using Semantic Segmentation and Depth Prediction	May 25, 2020	ClusteringDepth Estimation	—Unverified	0
Focus on defocus: bridging the synthetic to real domain gap for depth estimation	May 19, 2020	Depth EstimationDepth Prediction	CodeCode Available	1
Decoder Modulation for Indoor Depth Completion	May 18, 2020	DecoderDepth Completion	—Unverified	0
Deep feature fusion for self-supervised monocular depth prediction	May 16, 2020	DecoderDepth Estimation	—Unverified	0
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data	May 15, 2020	3D Object DetectionAutonomous Driving	—Unverified	0
Bi3D: Stereo Depth Estimation via Binary Classifications	May 14, 2020	Autonomous NavigationDepth Estimation	CodeCode Available	1
Taskology: Utilizing Task Relations at Scale	May 14, 2020	Depth EstimationMotion Estimation	—Unverified	0
On the uncertainty of self-supervised monocular depth estimation	May 13, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Self-Supervised Human Depth Estimation from Monocular Videos	May 7, 2020	Depth EstimationSelf-Supervised Learning	CodeCode Available	1
VisualEchoes: Spatial Image Representation Learning through Echolocation	May 4, 2020	Depth EstimationMonocular Depth Estimation	—Unverified	0
Deep 3D Pan via Local adaptive "t-shaped" convolutions with global and local adaptive dilations	May 1, 2020	Depth EstimationMonocular Depth Estimation	—Unverified	0
Consistent Video Depth Estimation	Apr 30, 2020	Depth EstimationMonocular Reconstruction	CodeCode Available	2
Deflating Dataset Bias Using Synthetic Data Augmentation	Apr 28, 2020	Autonomous VehiclesData Augmentation	—Unverified	0
GIMP-ML: Python Plugins for using Computer Vision Models in GIMP	Apr 27, 2020	ClusteringColorization	—Unverified	0
Self-Supervised Attention Learning for Depth and Ego-motion Estimation	Apr 27, 2020	Depth EstimationImage Reconstruction	—Unverified	0
Learning to Autofocus	Apr 26, 2020	Depth Estimation	—Unverified	0
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation	Apr 23, 2020	Depth EstimationMonocular Depth Estimation	—Unverified	0
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction	Apr 22, 2020	Depth EstimationDepth Prediction	CodeCode Available	0
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences	Apr 20, 2020	3D ReconstructionDepth Estimation	—Unverified	0
On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey	Apr 18, 2020	BIG-bench Machine LearningDepth Estimation	—Unverified	0
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation	Apr 17, 2020	Autonomous VehiclesDepth Estimation	—Unverified	0

Show:10 25 50

← PrevPage 78 of 99Next →

All datasets Stanford2D3D Panoramic NYU-Depth V2 DCM eBDtheque ScanNetV2 Cityscapes test DIODE KITTI 2015 Mars DTM Estimation ScanNet 4D Light Field Dataset KITTI Eigen split

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	OmniDepth	RMSE	0.62	—	Unverified
2	SphereDepth	RMSE	0.45	—	Unverified
3	Jin et al.	RMSE	0.42	—	Unverified
4	BiFuse with fusion	RMSE	0.41	—	Unverified
5	HoHoNet (ResNet-101)	RMSE	0.38	—	Unverified
6	PanoDepth	RMSE	0.37	—	Unverified
7	BiFuse++	RMSE	0.37	—	Unverified
8	UniFuse with fusion	RMSE	0.37	—	Unverified
9	DisConv	RMSE	0.37	—	Unverified
10	SliceNet	RMSE	0.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	A2J	mAP	8.61	—	Unverified
2	PAD-Net	RMS	0.79	—	Unverified
3	MS-CRF	RMS	0.59	—	Unverified
4	DORN	RMS	0.51	—	Unverified
5	Freeform	RMS	0.43	—	Unverified
6	Optimized, freeform	RMS	0.43	—	Unverified
7	VNL	RMS	0.42	—	Unverified
8	BTS	RMS	0.41	—	Unverified
9	TransDepth (AGD+ ViT)	RMS	0.37	—	Unverified
10	AdaBins	RMS	0.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	T2Net	Abs Rel	0.35	—	Unverified
2	MIDAS	Abs Rel	0.31	—	Unverified
3	Bhattacharjee et al.	Abs Rel	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	T2Net	Abs Rel	0.49	—	Unverified
2	MIDAS	Abs Rel	0.42	—	Unverified
3	Bhattacharjee et al.	Abs Rel	0.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LeReS	absolute relative error	0.1	—	Unverified
2	DELTAS	absolute relative error	0.09	—	Unverified
3	Distill Any Depth	absolute relative error	0.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SDC-Depth	RMSE	6.92	—	Unverified
2	SwinMTL	RMSE	6.35	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AIP-Brown	Delta < 1.25	0.36	—	Unverified
2	LeRes	Delta < 1.25	0.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	H-Net (Ours)	Absolute relative error (AbsRel)	0.09	—	Unverified
2	H-Net (Ours) Full Eigen	Absolute relative error (AbsRel)	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLPDepth	Delta < 1.25	0.43	—	Unverified
2	SRDINET (Model A)	Delta < 1.25	0.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Atlas (finetuned)	RMSE	0.17	—	Unverified
2	Atlas (plain)	RMSE	0.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LFattNet	BadPix(0.01)	17.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LightDepth	Number of parameters (M)	42.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniFuse	Abs Rel	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	X-TC (Cross-Task Consistency)	L1 error	1.63	—	Unverified