Scaling Up Deep Clustering Methods Beyond ImageNet-1K

3 June 2024

Papers citing "Scaling Up Deep Clustering Methods Beyond ImageNet-1K"

26 / 26 papers shown

Title
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations Benedikt Alkin Lukas Miklautz Sepp Hochreiter Johannes Brandstetter VLM 251 8 0 24 Feb 2025
Effective pruning of web-scale datasets based on complexity of concept clusters Amro Abbas E. Rusak Kushal Tirumala Wieland Brendel Kamalika Chaudhuri Ari S. Morcos VLM CLIP 67 23 0 09 Jan 2024
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets Cheng-i Wang Julian McAuley Zachary Chase Lipton Saurabh Garg VLM 119 87 0 06 Feb 2023
Why Are Conditional Generative Models Better Than Unconditional Ones? Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu DiffM 88 24 0 01 Dec 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 209 3,509 0 16 Oct 2022
Masked Siamese Networks for Label-Efficient Learning Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Florian Bordes Pascal Vincent Armand Joulin Michael G. Rabbat Nicolas Ballas SSL 119 323 0 14 Apr 2022
What can we learn from misclassified ImageNet images? Shixian Wen A. Rios Kiran Lekkala Laurent Itti 44 7 0 20 Jan 2022
iBOT: Image BERT Pre-Training with Online Tokenizer Jinghao Zhou Chen Wei Huiyu Wang Wei Shen Cihang Xie Alan Yuille Tao Kong 90 743 0 15 Nov 2021
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning Shiming Chen Guosen Xie Yang Liu Qinmu Peng Baigui Sun Hao Li Xinge You Ling Shao 137 128 0 30 Sep 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 240 1,165 0 07 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 756 6,143 0 29 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 337 715 0 22 Apr 2021
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 134 407 0 12 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 115 540 0 25 May 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang Phillip Isola SSL 180 1,864 0 20 May 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 404 18,914 0 13 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 165 3,582 0 21 Jan 2020
Self-labelling via simultaneous clustering and representation learning Yuki M. Asano Christian Rupprecht Andrea Vedaldi SSL 127 778 0 13 Nov 2019
Do We Train on Test Data? Purging CIFAR of Near-Duplicates Björn Barz Joachim Denzler 79 97 0 01 Feb 2019
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly Yongqin Xian Christoph H. Lampert Bernt Schiele Zeynep Akata VLM 179 1,572 0 03 Jul 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 301 5,880 0 14 Jun 2017
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 303 3,746 0 28 Feb 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 181 3,484 0 07 Oct 2016
FireCaffe: near-linear acceleration of deep neural network training on compute clusters F. Iandola Khalid Ashraf Matthew W. Moskewicz Kurt Keutzer 86 302 0 31 Oct 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 509 43,732 0 17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,661 0 01 Sep 2014