Optical Flow Estimation On Sintel Final

Métriques

Average End-Point Error

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Average End-Point Error	Paper Title	Repository
Spynet	8.36	Optical Flow Estimation using a Spatial Pyramid Network
DEQ-Flow-H	2.886	Deep Equilibrium Optical Flow Estimation
SelFlow	4.26	SelFlow: Self-Supervised Learning of Optical Flow
FastFlowNet-ft	6.08	FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation
FDFlowNet-ft	5.11	FDFlowNet: Fast Optical Flow Estimation using a Deep Lightweight Network	-
RPKNet	2.657	Recurrent Partial Kernel Network for Efficient Optical Flow Estimation
MR-Flow	5.38	Optical Flow in Mostly Rigid Scenes	-
MaskFlownet	4.17	MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
GMFlow	2.37	Unifying Flow, Stereo and Depth Estimation
CroCo-Flow	2.436	CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow
VCN	4.40	Volumetric Correspondence Networks for Optical Flow
IRR-PWC	4.579	Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Perceiver IO	2.42	Perceiver IO: A General Architecture for Structured Inputs & Outputs
Ef-RAFT	2.60	Rethinking RAFT for Efficient Optical Flow
UnrolledCost	5.8	Cost Function Unrolling in Unsupervised Optical Flow
GMFlowNet	2.648	Global Matching with Overlapping Attention for Optical Flow Estimation
ScopeFlow	4.098	ScopeFlow: Dynamic Scene Scoping for Optical Flow
GMA	2.470	Learning to Estimate Hidden Motions with Global Motion Aggregation
ContinualFlow + ft	4.52	Continual Occlusions and Optical Flow Estimation	-
LiteFlowNet2-ft	4.69	A Lightweight Optical Flow CNN -- Revisiting Data Fidelity and Regularization

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