Optical Flow Estimation On Sintel Clean

评估指标

Average End-Point Error

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
Spynet6.64Optical Flow Estimation using a Spatial Pyramid Network
FastFlowNet-ft4.89FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation
UnrolledCost4.69Cost Function Unrolling in Unsupervised Optical Flow
LiteFlowNet-ft4.54LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
FlowNet23.96FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
IRR-PWC3.84Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
SelFlow3.74SelFlow: Self-Supervised Learning of Optical Flow
FDFlowNet-ft3.71FDFlowNet: Fast Optical Flow Estimation using a Deep Lightweight Network-
ScopeFlow3.592ScopeFlow: Dynamic Scene Scoping for Optical Flow
LiteFlowNet2-ft3.48A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization
LiteFlowNet3-S3.03LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
LiteFlowNet32.99LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
ProFlow+ft 2.82ProFlow: Learning to Predict Optical Flow-
MaskFlownet-S2.77MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
MR-Flow2.53Optical Flow in Mostly Rigid Scenes-
MaskFlownet2.52MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
RAPIDFlow2.03RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation-
Perceiver IO1.81Perceiver IO: A General Architecture for Structured Inputs & Outputs
RAFT (warm-start)1.609RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
DEQ-Flow-H1.519Deep Equilibrium Optical Flow Estimation
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