When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

3 June 2021

Papers citing "When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations"

25 / 75 papers shown

Title
Improving Vision Transformers by Revisiting High-frequency Components Jiawang Bai Liuliang Yuan Shutao Xia Shuicheng Yan Zhifeng Li W. Liu ViT 8 90 0 03 Apr 2022
AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification Juncheng Billy Li Shuhui Qu Po-Yao (Bernie) Huang Florian Metze VLM 24 9 0 25 Mar 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy Tianlong Chen Zhenyu (Allen) Zhang Yu Cheng Ahmed Hassan Awadallah Zhangyang Wang ViT 35 37 0 12 Mar 2022
How Do Vision Transformers Work? Namuk Park Songkuk Kim ViT 32 465 0 14 Feb 2022
Iterative Self Knowledge Distillation -- From Pothole Classification to Fine-Grained and COVID Recognition Kuan-Chuan Peng 39 2 0 04 Feb 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 11 58 0 01 Feb 2022
VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer Mengshu Sun Haoyu Ma Guoliang Kang Yifan Jiang Tianlong Chen Xiaolong Ma Zhangyang Wang Yanzhi Wang ViT 25 45 0 17 Jan 2022
Video Transformers: A Survey Javier Selva A. S. Johansen Sergio Escalera Kamal Nasrollahi T. Moeslund Albert Clapés ViT 22 103 0 16 Jan 2022
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation Wuyang Chen Xianzhi Du Fan Yang Lucas Beyer Xiaohua Zhai ... Huizhong Chen Jing Li Xiaodan Song Zhangyang Wang Denny Zhou ViT 23 20 0 17 Dec 2021
Sharpness-Aware Minimization with Dynamic Reweighting Wenxuan Zhou Fangyu Liu Huan Zhang Muhao Chen AAML 19 8 0 16 Dec 2021
Scaling Up Influence Functions Andrea Schioppa Polina Zablotskaia David Vilar Artem Sokolov TDI 25 90 0 06 Dec 2021
How Well Do Sparse Imagenet Models Transfer? Eugenia Iofinova Alexandra Peste Mark Kurtz Dan Alistarh 19 38 0 26 Nov 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 27 24 0 24 Nov 2021
Discrete Representations Strengthen Vision Transformer Robustness Chengzhi Mao Lu Jiang Mostafa Dehghani Carl Vondrick Rahul Sukthankar Irfan Essa ViT 27 43 0 20 Nov 2021
Can Vision Transformers Perform Convolution? Shanda Li Xiangning Chen Di He Cho-Jui Hsieh ViT 35 19 0 02 Nov 2021
Sharpness-Aware Minimization Improves Language Model Generalization Dara Bahri H. Mobahi Yi Tay 119 98 0 16 Oct 2021
Scaled ReLU Matters for Training Vision Transformers Pichao Wang Xue Wang Haowen Luo Jingkai Zhou Zhipeng Zhou Fan Wang Hao Li R. L. Jin 13 41 0 08 Sep 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 17 305 0 17 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 314 5,775 0 29 Apr 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text Hassan Akbari Liangzhe Yuan Rui Qian Wei-Hong Chuang Shih-Fu Chang Yin Cui Boqing Gong ViT 248 577 0 22 Apr 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 27 137 0 29 Mar 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 280 1,981 0 09 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,428 0 04 Jan 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016