GhostNetV2: Enhance Cheap Operation with Long-Range Attention (Supplementary Material) Y ehui T ang
–Neural Information Processing Systems
GhostNetV2 is compatible with different detection models as a universe backbone. Table A1: Results of object detection on MS COCO dataset. Networks [5, 4] is used as the detection head. We compare the calculation process of decoupled attention and full attention in Figure A1. The visualization of attention map is shown in Figure 6 of the main paper.
Neural Information Processing Systems
Aug-14-2025, 09:57:16 GMT
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (0.34)
- Vision (0.41)
- Information Technology > Artificial Intelligence