LSFM
2022-10-16 16:15:54
MLP-Mixers based focal detection network with Super Pixel Pyramid Pooling neck, which uses only linear learnable layer for feature enrichment and filtering instead of computationally costly upscaling operations.
| Method description: | MLP-Mixers based focal detection network with Super Pixel Pyramid Pooling neck, which uses only linear learnable layer for feature enrichment and filtering instead of computationally costly upscaling operations. |
| Up-/Downsampling: | 1.0 |
| Computation Environment: | Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz, RTX3090 |
| Computation Time: | 1993.0 |
| Publication: | Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving |
| Authors: | Abdul Hannan Khan, Mohammed Shariq Nawaz, Andreas Dengel |
| Publication Venue: | CVPR 2023 |
| Publication Link: | https://openaccess.thecvf.com/content/CVPR2023/papers/Khan_Localized_Semantic_Feature_Mixers_for_Efficient_Pedestrian_Detection_in_Autonomous_CVPR_2023_paper.pdf |
| Publication Code (Link): | https://github.com/AbdulHannanKhan/F2DNet |