🎉 我们关于自适应推理的工作 RANet 被计算机视觉顶会 CVPR2020 接收！
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发布时间：2020-06-20
发布时间：2020-06-20
文章标题：🎉 我们关于自适应推理的工作 RANet 被计算机视觉顶会 CVPR2020 接收！
内容：
Resolution Adaptive Networks for Efficient Inference.[PDF] [code]
Le Yang*, Yizeng Han*, Xi Chen*, Shiji Song, Jifeng Dai, Gao Huang✉
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020
The proposed Resolution Adaptive Network (RANet) makes use of spatial redundancy in images to conduct the adaptive inference for the first time. The RANet is inspired by the intuition that low-resolution representations are sufficient for classifying “easy” inputs containing large objects with prototypical features, while only some “hard” samples need spatially detailed information.