Res2Net: New deep learning multi-scale architecture, for improved object detection with existing backbones

As Google Brain’s EfficientNet paper showed, there are rapidly diminishing returns on investment for scaling up various aspects of CNN architectures (width, depth, resolution).

A new paper by Gao, Cheng, Zhao et al (Res2Net: a new multi-scale backbone architecture), however, shows that multi-scale or scaling within a given block, rather than the usual layer by layer, is an unexplored domain with additional payoffs especially for object recognition and…