Search Results for author: Junqiang Huang

Found 4 papers, 2 papers with code

EqCo: Equivalent Rules for Self-supervised Contrastive Learning

1 code implementation5 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.

Contrastive Learning Self-Supervised Learning

Revisiting the Critical Factors of Augmentation-Invariant Representation Learning

1 code implementation30 Jul 2022 Junqiang Huang, Xiangwen Kong, Xiangyu Zhang

We focus on better understanding the critical factors of augmentation-invariant representation learning.

Representation Learning

Pixel-Wise Contrastive Distillation

no code implementations ICCV 2023 Junqiang Huang, Zichao Guo

We present a simple but effective pixel-level self-supervised distillation framework friendly to dense prediction tasks.

Steal My Artworks for Fine-tuning? A Watermarking Framework for Detecting Art Theft Mimicry in Text-to-Image Models

no code implementations22 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.

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