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.

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