1 code implementation • 16 Apr 2024 • Zhengwei Tao, Zhi Jin, Junqiang Huang, Xiancai Chen, Xiaoying Bai, Haiyan Zhao, Yifan Zhang, Chongyang Tao
Finally, we observe that models trained in this way are still struggling to fully comprehend event evolution.
no code implementations • 22 Nov 2023 • Ge Luo, Junqiang Huang, Manman Zhang, Zhenxing Qian, Sheng Li, Xinpeng Zhang
In various fine-tune scenarios and against watermark attack methods, our research confirms that analyzing the distribution of watermarks in artificially generated images reliably detects unauthorized mimicry.
1 code implementation • ICCV 2023 • Junqiang Huang, Zichao Guo
We present a simple but effective pixel-level self-supervised distillation framework friendly to dense prediction tasks.
1 code implementation • 30 Jul 2022 • Junqiang Huang, Xiangwen Kong, Xiangyu Zhang
We focus on better understanding the critical factors of augmentation-invariant representation learning.
1 code implementation • 5 Oct 2020 • Benjin Zhu, Junqiang Huang, Zeming Li, Xiangyu Zhang, Jian Sun
In this paper, we propose EqCo (Equivalent Rules for Contrastive Learning) to make self-supervised learning irrelevant to the number of negative samples in the contrastive learning framework.