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
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摘要:Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification 2021.5.13 Project Page: https://geyixiao.com/projects/bake https://
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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
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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
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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
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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
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