sotabench: Paper - ResNeSt: Split-Attention Networks

ResNeSt: Split-Attention Networks

Hang Zhang • Chongruo Wu • Zhongyue Zhang • Yi Zhu • Zhi Zhang • Haibin Lin • Yue Sun • Tong He • Jonas Mueller • R. Manmatha • Mu Li • Alexander Smola

Papers with code Abstract PDF

While image classification models have recently continued to advance, most downstream applications such as object detection and semantic segmentation still employ ResNet variants as the backbone network due to their simple and modular structure. We present a simple and modular Split-Attention block that enables attention across feature-map groups... (read more)