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

模型名称	absolute relative error	Paper Title	Repository
CC	0.140	Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
AFNet	0.044	Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving
SIGNet	0.133	SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
PrimeDepth	0.079	PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage
DPT-Hybrid	0.062	Vision Transformers for Dense Prediction
VNL	0.072	Enforcing geometric constraints of virtual normal for depth prediction
UniK3D (FT, metric)	0.037	-	-
DINOv2 (ViT-g/14 frozen, w/ DPT decoder)	0.0652	DINOv2: Learning Robust Visual Features without Supervision
MAMo	0.049	MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation	-
D-Net	0.056	D-Net: A Generalised and Optimised Deep Network for Monocular Depth Estimation
ECoDepth	0.048	ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation
EVP	0.048	EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment
GLPDepth	0.057	Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
ScaleDepth-K	0.048	ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation
3Net	0.126	Learning monocular depth estimation with unsupervised trinocular assumptions
DiPE	0.112	DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos
AdaBins	0.058	AdaBins: Depth Estimation using Adaptive Bins
GASDA	0.149	Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
Marigold	0.099	Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Manydepth2	0.091	Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic Scenes

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