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03/13/2023
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
We propose universally slimmable self-supervised learning (dubbed as US3...
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07/12/2022
Synergistic Self-supervised and Quantization Learning
With the success of self-supervised learning (SSL), it has become a main...
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03/13/2022
Worst Case Matters for Few-Shot Recognition
Few-shot recognition learns a recognition model with very few (e.g., 1 o...
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01/26/2022
Training Vision Transformers with Only 2040 Images
Vision Transformers (ViTs) is emerging as an alternative to convolutiona...
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06/17/2021
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications
This paper starts by revealing a surprising finding: without any learnin...
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03/25/2021
Rethinking Self-Supervised Learning: Small is Beautiful
Self-supervised learning (SSL), in particular contrastive learning, has ...
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02/26/2020
Rethinking the Route Towards Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) aims to localize objects wi...
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11/18/2019