Improving Vision Transformers by Revisiting High-frequency Components

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Improving Vision Transformers by Revisiting High-frequency Components

3 April 2022

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Papers citing "Improving Vision Transformers by Revisiting High-frequency Components"

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Title
Representation Separation for Semantic Segmentation with Vision Transformers Yuanduo Hong Huihui Pan Weichao Sun Xinghu Yu Huijun Gao ViT 85 5 0 28 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 79 1 0 08 Dec 2022
Similarity of Neural Architectures using Adversarial Attack Transferability Ian Ryu Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 138 2 0 20 Oct 2022
Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation Jiawei Liang Siyuan Liang Aishan Liu Ke Ma Jingzhi Li Xiaochun Cao VLM 120 16 0 20 Sep 2022
Towards Efficient Adversarial Training on Vision Transformers Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 115 40 0 21 Jul 2022
DynaMixer: A Vision MLP Architecture with Dynamic Mixing Ziyu Wang Wenhao Jiang Yiming Zhu Li Yuan Yibing Song Wei Liu 104 44 0 28 Jan 2022
DGL-GAN: Discriminator Guided Learning for GAN Compression Yuesong Tian Li Shen Xiang Tian Dacheng Tao Zhifeng Li Wei Liu Yao-wu Chen 126 0 0 13 Dec 2021
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning Kuofeng Gao Jiawang Bai Bin Chen Dongxian Wu Shutao Xia AAML 152 10 0 18 Sep 2021
Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training Dawei Zhou N. Wang Xinbo Gao Bo Han Jun Yu Xiaoyu Wang Tongliang Liu AAML 71 4 0 10 Jun 2021