An Empirical Study of Adder Neural Networks for Object Detection Xinghao Chen

Neural Information Processing Systems 

Comparisons with state-of-the-arts are conducted on COCO and P ASCAL VOC benchmarks. Specifically, the proposed Adder FCOS achieves a 37.8% AP on the COCO val set, demonstrating comparable performance

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