Research map / Probabilistic and scientific modeling / Molecules and proteins
FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Train on Chairs first, then fine-tune on Things3D (ablation) | FlowNetS · Sintel train clean | EPE: 4.45 -> 3.79 | Helped |
| Train on Things3D alone instead of the staged Chairs-to-Things3D schedule (ablation) | FlowNetS · Sintel train clean | EPE: 4.50 vs 3.79 | Hurt |
| Train on equal mixed samples instead of the staged schedule (ablation) | FlowNetS · Sintel train clean | EPE: 4.10 vs 3.79 | Hurt |
| Use FlowNetC instead of FlowNetS (ablation) | FlowNet · Sintel train clean | EPE: 4.45 -> 3.77 | Helped |
| Add a second network without warping (ablation) | FlowNetS stack · Sintel train clean | EPE: 3.79 -> 4.29 | Hurt |
| Add warping before the refinement network (ablation) | FlowNetS stack · Sintel train clean | EPE: 4.29 -> 2.93 | Helped |
| Add an intermediate loss after Net1 during end-to-end stack training (ablation) | FlowNetS stack · Sintel train clean | EPE: 3.94 -> 3.33 | Helped |
| Keep Net1 fixed and train only warped Net2 (ablation) | FlowNetS stack · Sintel train clean | EPE: 3.33 -> 2.93 | Helped |
| Use two thin networks instead of one wide network (ablation) | FlowNet2 · Sintel train clean | EPE: 4.55 -> 3.22 | Helped |
| Fine-tune FlowNet2-CSS on small-displacement data (ablation) | FlowNet2-CSS · Sintel clean train | AEE: 2.10 -> 2.08 | Helped |
| Fine-tune FlowNet2 on Sintel training data (ablation) | FlowNet2 · Sintel clean test | AEE: 3.96 -> 4.16 | Hurt |
| Fine-tune FlowNet2 on KITTI training data (ablation) | FlowNet2 · KITTI 2012 test | AEE: FlowNet2-ft-kitti: 1.8 | Helped |
Closest papers by meaning
- LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation (CVPR 2018 · similarity 0.92)
- Optical Flow Estimation Using a Spatial Pyramid Network (CVPR 2017 · similarity 0.92)
- Recurrent Partial Kernel Network for Efficient Optical Flow Estimation (AAAI 2024 · similarity 0.88)
- DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework (CVPR 2025 · similarity 0.88)
- Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation (AAAI 2024 · similarity 0.87)
- FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models (CVPR 2024 · similarity 0.87)
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