ResNeSt: Split-Attention Networks

Hang ZhangChongruo WuZhongyue ZhangYi ZhuZhi ZhangHaibin LinYue SunTong HeJonas MuellerR. ManmathaMu LiAlexander 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)

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