Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels

13 January 2021

Papers citing "Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels"

35 / 35 papers shown

Title
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Zijie Fang Yifeng Wang Peizhang Xie Zhi Wang Yongbing Zhang 43 0 0 31 Dec 2024
Probabilistic Language-Image Pre-Training Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun MLLM VLM CLIP 132 4 2 24 Oct 2024
Locality Alignment Improves Vision-Language Models Ian Covert Tony Sun James Zou Tatsunori Hashimoto VLM 70 4 0 14 Oct 2024
Open-Set Image Tagging with Multi-Grained Text Supervision Xinyu Huang Yi-Jie Huang Youcai Zhang Weiwei Tian Rui Feng Yuejie Zhang Yanchun Xie Yaqian Li Lei Zhang VLM 25 28 0 23 Oct 2023
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification Youngwook Kim Jae Myung Kim Ji-Eun Jeong Cordelia Schmid Zeynep Akata Jungwook Lee 21 7 0 04 Apr 2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study Youcai Zhang Yuzhuo Qin Heng-Ye Liu Yanhao Zhang Yaqian Li X. Gu VLM 53 2 0 15 Mar 2023
Distilling Calibrated Student from an Uncalibrated Teacher Ishan Mishra Sethu Vamsi Krishna Deepak Mishra FedML 34 2 0 22 Feb 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers Mengzhao Chen Mingbao Lin Zhihang Lin Yu-xin Zhang Rongrong Ji Rongrong Ji 50 10 0 26 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases Mazda Moayeri Wenxiao Wang Sahil Singla S. Feizi 69 14 0 05 Dec 2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations Badr Youbi Idrissi Diane Bouchacourt Randall Balestriero Ivan Evtimov C. Hazirbas Nicolas Ballas Pascal Vincent M. Drozdzal David Lopez-Paz Mark Ibrahim VLM ViT 46 45 0 03 Nov 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 21 32 0 21 Aug 2022
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers Jihao Liu B. Liu Hang Zhou Hongsheng Li Yu Liu ViT 21 66 0 18 Jul 2022
Beyond Hard Labels: Investigating data label distributions Vasco Grossmann Lars Schmarje Reinhard Koch 21 11 0 13 Jul 2022
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 43 34 0 13 Jul 2022
Natural Backdoor Datasets Emily Wenger Roma Bhattacharjee A. Bhagoji Josephine Passananti Emilio Andere Haitao Zheng Ben Y. Zhao AAML 33 4 0 21 Jun 2022
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP) A. Vaswani Gaurav Aggarwal Praneeth Netrapalli N. Hegde 22 4 0 17 Jun 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification Youngwook Kim Jae Myung Kim Zeynep Akata Jungwook Lee NoLa 29 46 0 08 Jun 2022
Prefix Conditioning Unifies Language and Label Supervision Kuniaki Saito Kihyuk Sohn Xinming Zhang Chun-Liang Li Chen-Yu Lee Kate Saenko Tomas Pfister VLM CLIP 34 16 0 02 Jun 2022
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks Bin Hu Yu Sun •. A. K. Qin AI4CE 28 0 0 29 May 2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet Vijay Vasudevan Benjamin Caine Raphael Gontijo-Lopes Sara Fridovich-Keil Rebecca Roelofs VLM UQCV 43 57 0 09 May 2022
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results T. Ridnik Hussam Lawen Emanuel Ben-Baruch Asaf Noy 38 11 0 07 Apr 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy Yuanhan Zhang Qi Sun Yichun Zhou Zexin He Zhen-fei Yin Kunze Wang Lu Sheng Yu Qiao Jing Shao Ziwei Liu ObjD VLM 29 19 0 15 Mar 2022
Background-aware Classification Activation Map for Weakly Supervised Object Localization Lei Zhu Qi She Qian Chen Xiangxi Meng Mufeng Geng ... Bin Qiu Yunfei You Yibao Zhang Qiushi Ren Yanye Lu WSOL 50 18 0 29 Dec 2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar Pau Rodríguez López Soumye Singhal David Vazquez Aaron C. Courville VLM 23 30 0 23 Nov 2021
Observations on K-image Expansion of Image-Mixing Augmentation for Classification Joonhyun Jeong Sungmin Cha Jongwon Choi Sangdoo Yun Taesup Moon Y. Yoo VLM 13 6 0 08 Oct 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
Knowledge distillation: A good teacher is patient and consistent Lucas Beyer Xiaohua Zhai Amelie Royer L. Markeeva Rohan Anil Alexander Kolesnikov VLM 35 287 0 09 Jun 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 181 687 0 22 Apr 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 16 203 0 22 Apr 2021
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts Song Park Sanghyuk Chun Junbum Cha Bado Lee Hyunjung Shim 44 63 0 02 Apr 2021
Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo Sangdoo Yun Dongyoon Han Sanghyuk Chun Junsuk Choe Seong Joon Oh ViT 339 564 0 30 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
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 28 50 0 10 Dec 2020
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 36 674 0 31 Oct 2019
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 192 473 0 12 Jun 2018