Monocular Depth Estimation On Kitti Eigen

评估指标

absolute relative error

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
VDA	0.193	Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
GASDA	0.149	Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
LeReS	0.149	Learning to Recover 3D Scene Shape from a Single Image
CC	0.140	Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
SIW	0.14	Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings	-
SC-SfMLearner	0.137	Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
struct2depth	0.135	Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
SIGNet	0.133	SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
SelfDepthNorm	0.133	Self-supervised Learning for Single View Depth and Surface Normal Estimation	-
SC-SfMLearner_CS+K	0.128	Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
3Net	0.126	Learning monocular depth estimation with unsupervised trinocular assumptions
PackNet-SfM	0.12	3D Packing for Self-Supervised Monocular Depth Estimation
SC-Depth (ResNet18)	0.119	Unsupervised Scale-consistent Depth Learning from Video
SemanticAware	0.118	Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation	-
SC-Depth (ResNet 50)	0.114	Unsupervised Scale-consistent Depth Learning from Video
LSIM	0.113	Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation
DNet	0.113	Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications
DiPE	0.112	DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos
DeepLabV3+ (F10)	0.110	Single Image Depth Estimation Trained via Depth from Defocus Cues
monodepth2 M	0.106	Digging Into Self-Supervised Monocular Depth Estimation

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