model_zoo.md

Model Zoo Statistics

• Number of papers: 8

• Number of checkpoints: 48 ckpts

  • FlowNet: Learning Optical Flow with Convolutional Networks (5 ckpts)
  • FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks (7 ckpts)
  • PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume (6 ckpts)
  • LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation (9 ckpts)
  • A Lightweight Optical Flow CNN-Revisiting Data Fidelity and Regularization (8 ckpts)
  • Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation (5 ckpts)
  • MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask (4 ckpts)
  • RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (4 ckpts)