Are we done with ImageNet?

12 June 2020

Papers citing "Are we done with ImageNet?"

38 / 88 papers shown

Title
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 48 909 1 10 Mar 2022
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4 William Berrios Arturo Deza MedIm ViT 22 13 0 08 Mar 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision Priya Goyal Quentin Duval Isaac Seessel Mathilde Caron Ishan Misra Levent Sagun Armand Joulin Piotr Bojanowski VLM SSL 26 110 0 16 Feb 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 31 7 0 29 Dec 2021
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research Bernard Koch Emily L. Denton A. Hanna J. Foster 36 140 0 03 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 175 89 0 02 Dec 2021
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 20 56 0 30 Nov 2021
How Well Do Sparse Imagenet Models Transfer? Eugenia Iofinova Alexandra Peste Mark Kurtz Dan Alistarh 19 38 0 26 Nov 2021
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning? Yufei Xu Qiming Zhang Jing Zhang Dacheng Tao SSL 21 18 0 24 Nov 2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar Pau Rodríguez López Soumye Singhal David Vazquez Aaron C. Courville VLM 15 30 0 23 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
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 24 26 0 03 Nov 2021
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 16 71 0 27 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness Vincent Fortuin Mark Collier F. Wenzel J. Allingham J. Liu Dustin Tran Balaji Lakshminarayanan Jesse Berent Rodolphe Jenatton E. Kokiopoulou UQCV 34 11 0 06 Oct 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 209 487 0 01 Oct 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 34 89 0 14 Jul 2021
Global Filter Networks for Image Classification Yongming Rao Wenliang Zhao Zheng Zhu Jiwen Lu Jie Zhou ViT 16 450 0 01 Jul 2021
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering Lars Schmarje M. Santarossa Simon-Martin Schroder Claudius Zelenka R. Kiko J. Stracke N. Volkmann Reinhard Koch 30 10 0 30 Jun 2021
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? Roland S. Zimmermann Judy Borowski Robert Geirhos Matthias Bethge Thomas S. A. Wallis Wieland Brendel FAtt 39 31 0 23 Jun 2021
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition Qibin Hou Zihang Jiang Li-xin Yuan Mingg-Ming Cheng Shuicheng Yan Jiashi Feng ViT MLLM 24 205 0 23 Jun 2021
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? Michael S. Ryoo A. Piergiovanni Anurag Arnab Mostafa Dehghani A. Angelova ViT 32 127 0 21 Jun 2021
VidHarm: A Clip Based Dataset for Harmful Content Detection Johan Edstedt Amanda Berg M. Felsberg Johan Karlsson Francisca Benavente Anette Novak G. Pihlgren 14 2 0 15 Jun 2021
Large-scale Unsupervised Semantic Segmentation Shangqi Gao Zhong-Yu Li Ming-Hsuan Yang Mingg-Ming Cheng Junwei Han Philip H. S. Torr UQCV 38 84 0 06 Jun 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 178 53 0 19 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 26 103 0 10 May 2021
ResMLP: Feedforward networks for image classification with data-efficient training Hugo Touvron Piotr Bojanowski Mathilde Caron Matthieu Cord Alaaeldin El-Nouby ... Gautier Izacard Armand Joulin Gabriel Synnaeve Jakob Verbeek Hervé Jégou VLM 21 655 0 07 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
All Tokens Matter: Token Labeling for Training Better Vision Transformers Zihang Jiang Qibin Hou Li-xin Yuan Daquan Zhou Yujun Shi Xiaojie Jin Anran Wang Jiashi Feng ViT 14 203 0 22 Apr 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 25 986 0 31 Mar 2021
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning Csaba Kertész VLM SSL 23 45 0 30 Mar 2021
Incorporating Convolution Designs into Visual Transformers Kun Yuan Shaopeng Guo Ziwei Liu Aojun Zhou F. Yu Wei Wu ViT 38 467 0 22 Mar 2021
Danish Fungi 2020 -- Not Just Another Image Recognition Dataset Lukás Picek Milan Šulc Jirí Matas J. Heilmann‐Clausen T. Jeppesen T. Læssøe T. Frøslev 25 54 0 18 Mar 2021
Knowledge Evolution in Neural Networks Ahmed Taha Abhinav Shrivastava L. Davis 45 21 0 09 Mar 2021
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking Glenn Dawson R. Polikar 18 5 0 11 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 41 39,217 0 22 Oct 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016