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Model Zoo StatisticsΒΆ

  • Number of papers: 9

  • Number of checkpoints: 62 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 (5 ckpts)

    • GMA: Learning to Estimate Hidden Motions with Global Motion Aggregation (13 ckpts)

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