An Impartial Take to the CNN vs Transformer Robustness Contest

22 July 2022

Papers citing "An Impartial Take to the CNN vs Transformer Robustness Contest"

31 / 31 papers shown

Title
Divide and Conquer Self-Supervised Learning for High-Content Imaging Lucas Farndale Paul Henderson Edward W Roberts Ke Yuan SSL 53 0 0 10 Mar 2025
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention João D. Nunes D. Montezuma Domingos Oliveira Tania Pereira Jaime S. Cardoso 44 1 0 26 Jul 2024
Are We Ready for Out-of-Distribution Detection in Digital Pathology? Ji-Hun Oh Kianoush Falahkheirkhah Rohit Bhargava OODD 34 2 0 18 Jul 2024
A Rate-Distortion View of Uncertainty Quantification Ifigeneia Apostolopoulou Benjamin Eysenbach Frank Nielsen Artur Dubrawski UQCV 31 2 0 16 Jun 2024
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models H. Malik Numan Saeed Asif Hanif Muzammal Naseer Mohammad Yaqub Salman Khan F. Khan 48 0 0 12 Jun 2024
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection Qutub Syed Michael Paulitsch Korbinian Hagn Neslihan Kose Cihangir Kay-Ulrich Scholl Fabian Oboril Gereon Hinz Alois C. Knoll OODD 39 1 0 05 Jun 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo Ehsan Abbasnejad Damien Teney Edison Marrese-Taylor Hamed Damirchi A. Hengel VLM 28 1 0 27 May 2024
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy Kirill Vishniakov Zhiqiang Shen Zhuang Liu CLIP 14 15 0 15 Nov 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz Selim Kuzucu Tom Joy P. Dokania MoE 22 5 0 26 Sep 2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks Jindong Gu Fangyun Wei Philip H. S. Torr Han Hu AAML 12 1 0 12 Sep 2023
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning Grégoire Petit Michael Soumm Eva Feillet Adrian Daniel Popescu Bertrand Delezoide David Picard C´eline Hudelot CLL 16 7 0 22 Aug 2023
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix Shashank Agnihotri Kanchana Vaishnavi Gandikota Julia Grabinski Paramanand Chandramouli M. Keuper 30 9 0 25 Jul 2023
What do neural networks learn in image classification? A frequency shortcut perspective Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio 9 21 0 19 Jul 2023
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing Ariel N. Lee Sarah Adel Bargal Janavi Kasera Stan Sclaroff Kate Saenko Nataniel Ruiz 18 0 0 30 Jun 2023
SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT Yuhao Nie E. Zelikman Andea Scott Quentin Paletta A. Brandt 26 3 0 20 Jun 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip H. S. Torr AAML 17 8 0 14 Jun 2023
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models Shuo Chen Jindong Gu Zhen Han Yunpu Ma Philip H. S. Torr Volker Tresp VPVLM VLM 27 17 0 03 Jun 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition Zhen Zhang Mengting Hu Shiwan Zhao Minlie Huang Haotian Wang Lemao Liu Zhirui Zhang Zhe Liu Bingzhe Wu EDL 13 10 0 29 May 2023
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training Kudaibergen Abutalip Numan Saeed Mustaqeem Khan Abdulmotaleb El Saddik 13 2 0 22 Apr 2023
Reliability in Semantic Segmentation: Are We on the Right Track? Pau de Jorge Riccardo Volpi Philip H. S. Torr Grégory Rogez UQCV 24 19 0 20 Mar 2023
Fine-Grained ImageNet Classification in the Wild Maria Lymperaiou Konstantinos Thomas Giorgos Stamou VLM 13 1 0 04 Mar 2023
Underwater target detection based on improved YOLOv7 Bing Li B. Liu Haiming Liu Shuofeng Li Nizhuan Wang 11 72 0 14 Feb 2023
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph Malte Hoffmann Andrew Hoopes Douglas N. Greve Bruce Fischl Adrian V. Dalca MedIm 24 15 0 26 Jan 2023
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators Jianhao Yuan Francesco Pinto Adam Davies Philip H. S. Torr DiffM 19 12 0 21 Dec 2022
MogaNet: Multi-order Gated Aggregation Network Siyuan Li Zedong Wang Zicheng Liu Cheng Tan Haitao Lin Di Wu Zhiyuan Chen Jiangbin Zheng Stan Z. Li 21 55 0 07 Nov 2022
A Light Recipe to Train Robust Vision Transformers Edoardo Debenedetti Vikash Sehwag Prateek Mittal ViT 19 68 0 15 Sep 2022
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets Damien Teney Yong Lin Seong Joon Oh Ehsan Abbasnejad OOD 360 47 0 01 Sep 2022
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility Rohit Gupta Naveed Akhtar Ajmal Saeed Mian M. Shah AAML SSL 21 5 0 22 Jul 2022
Generalization to translation shifts: a study in architectures and augmentations Suriya Gunasekar 11 1 0 05 Jul 2022
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 178 257 0 10 Nov 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 166 684 0 22 Apr 2021