05 2021 档案

摘要:Data Uncertainty Learning in Face Recognition 2021.5.25 CVPR20 Abstract 对于有噪声的图片,对于数据的不确定性非常重要,但很少有研究面部识别。之前的PFE将每个面部的嵌入作为高斯分布来考虑不确定性。它使用先前已有模型的固定特征作为 阅读全文
posted @ 2021-05-26 17:26 Liuyangcode 阅读(627) 评论(0) 推荐(0)
摘要:Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification 2021.5.13 Project Page: https://geyixiao.com/projects/bake https:// 阅读全文
posted @ 2021-05-14 12:01 Liuyangcode 阅读(1069) 评论(0) 推荐(0)
摘要:Distill on the Go: Online knowledge distillation in self-supervised learning 2021.5.13 Learning from Limited or Imperfect Data (L2ID) Workshop @ CVPR 阅读全文
posted @ 2021-05-13 17:17 Liuyangcode 阅读(1153) 评论(0) 推荐(0)
摘要:Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks 2021.5.12 Under review https://arxiv.org/abs/2105.02358 Introductio 阅读全文
posted @ 2021-05-12 16:24 Liuyangcode 阅读(1256) 评论(0) 推荐(0)
摘要:Decoupled Dynamic Filter Networks 2021.5.6 CVPR 2021 https://arxiv.org/abs/2104.14107 Introduction 卷积缺点在于:内容不变,计算量高 动态filter可以根据内容自适应,但是会提高计算量。depth-w 阅读全文
posted @ 2021-05-11 16:15 Liuyangcode 阅读(2026) 评论(0) 推荐(0)
摘要:Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework 2021.5.10 ICML 2021 https://arxiv.org/abs/2010.04879 Introduction 大部分的剪枝pruni 阅读全文
posted @ 2021-05-11 15:18 Liuyangcode 阅读(258) 评论(0) 推荐(0)