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11/17/2022
Self-Supervised Visual Representation Learning via Residual Momentum
Self-supervised learning (SSL) approaches have shown promising capabilit...
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03/30/2022
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Contrastive learning (CL) is widely known to require many negative sampl...
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03/30/2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
To avoid collapse in self-supervised learning (SSL), a contrastive loss ...
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08/01/2021
Self-supervised Learning with Local Attention-Aware Feature
In this work, we propose a novel methodology for self-supervised learnin...
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09/15/2019
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
This paper considers an architecture referred to as Cascade Region Propo...
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10/03/2018