Optical Flow Estimation On Kitti 2012
평가 지표
Average End-Point Error
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Average End-Point Error |
|---|---|
| maskflownet-asymmetric-feature-matching-with | 1.1 |
| models-matter-so-does-training-an-empirical | 1.5 |
| liteflownet3-resolving-correspondence | 1.3 |
| fdflownet-fast-optical-flow-estimation-using | 1.5 |
| improved-cross-view-completion-pre-training | 0.8 |
| fastflownet-a-lightweight-network-for-fast | 1.8 |
| maskflownet-asymmetric-feature-matching-with | 1.1 |
| iterative-residual-refinement-for-joint | 1.6 |
| liteflownet-a-lightweight-convolutional | 1.6 |
| a-lightweight-optical-flow-cnn-revisiting | 1.4 |
| liteflownet3-resolving-correspondence | 1.3 |
| selflow-self-supervised-learning-of-optical | 1.5 |