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论文数量: 9
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模型数量: 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)