Optical Flow Estimation On Sintel Clean

평가 지표

Average End-Point Error

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Average End-Point Error	Paper Title	Repository
FDFlowNet-ft	3.71	FDFlowNet: Fast Optical Flow Estimation using a Deep Lightweight Network	-
RAPIDFlow	2.03	RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation
ScopeFlow	3.592	ScopeFlow: Dynamic Scene Scoping for Optical Flow
LiteFlowNet2-ft	3.48	A Lightweight Optical Flow CNN -- Revisiting Data Fidelity and Regularization
MaskFlownet	2.52	MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
DEQ-Flow-H	1.519	Deep Equilibrium Optical Flow Estimation
GMFlow	1.03	Unifying Flow, Stereo and Depth Estimation
RPKNet	1.315	Recurrent Partial Kernel Network for Efficient Optical Flow Estimation
RAFT (warm-start)	1.609	RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
IRR-PWC	3.84	Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
SelFlow	3.74	SelFlow: Self-Supervised Learning of Optical Flow
GMA	1.388	Learning to Estimate Hidden Motions with Global Motion Aggregation
LiteFlowNet3-S	3.03	LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
Ef-RAFT	1.27	Rethinking RAFT for Efficient Optical Flow
ProFlow+ft	2.82	ProFlow: Learning to Predict Optical Flow	-
UnrolledCost	4.69	Cost Function Unrolling in Unsupervised Optical Flow
FlowNet2	3.96	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Perceiver IO	1.81	Perceiver IO: A General Architecture for Structured Inputs & Outputs
FlowFormer	1.16	FlowFormer: A Transformer Architecture for Optical Flow
FastFlowNet-ft	4.89	FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation

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