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ImageNet-21K Pretraining for the Masses

22 April 2021

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Papers citing "ImageNet-21K Pretraining for the Masses"

27 / 427 papers shown

Title
Network Augmentation for Tiny Deep Learning Han Cai Chuang Gan Ji Lin Song Han 130 30 0 17 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 262 437 0 12 Oct 2021
Inferring Offensiveness In Images From Natural Language Supervision P. Schramowski Kristian Kersting 40 2 0 08 Oct 2021
PETA: Photo Albums Event Recognition using Transformers Attention Tamar Glaser Emanuel Ben-Baruch Gilad Sharir Nadav Zamir Asaf Noy Lihi Zelnik-Manor ViT 44 2 0 26 Sep 2021
LIGAR: Lightweight General-purpose Action Recognition Evgeny Izutov 42 3 0 30 Aug 2021
Shifted Chunk Transformer for Spatio-Temporal Representational Learning Xuefan Zha Wentao Zhu Tingxun Lv Sen Yang Ji Liu AI4TS ViT 86 27 0 26 Aug 2021
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges Björn Barz Joachim Denzler 67 7 0 16 Aug 2021
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators Cosmin Octavian Pene Amirmasoud Ghiassi Taraneh Younesian Robert Birke Lydia Y. Chen 81 3 0 04 Aug 2021
Query2Label: A Simple Transformer Way to Multi-Label Classification Shilong Liu Lei Zhang Xiao Yang Hang Su Jun Zhu 73 193 0 22 Jul 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning Timo Milbich Karsten Roth Samarth Sinha Ludwig Schmidt Marzyeh Ghassemi Bjorn Ommer OOD OODD 116 22 0 20 Jul 2021
ResViT: Residual vision transformers for multi-modal medical image synthesis Onat Dalmaz Mahmut Yurt Tolga Çukur ViT MedIm 107 353 0 30 Jun 2021
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? Bidur Khanal Christopher Kanan NoLa 69 5 0 29 Jun 2021
Early Convolutions Help Transformers See Better Tete Xiao Mannat Singh Eric Mintun Trevor Darrell Piotr Dollár Ross B. Girshick 82 778 0 28 Jun 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers Andreas Steiner Alexander Kolesnikov Xiaohua Zhai Ross Wightman Jakob Uszkoreit Lucas Beyer ViT 139 638 0 18 Jun 2021
Long-Short Temporal Contrastive Learning of Video Transformers Jue Wang Gedas Bertasius Du Tran Lorenzo Torresani VLM ViT 153 50 0 17 Jun 2021
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models Chenfeng Xu Shijia Yang Tomer Galanti Bichen Wu Xiangyu Yue Bohan Zhai Wei Zhan Peter Vajda Kurt Keutzer Masayoshi Tomizuka 3DPC 62 55 0 08 Jun 2021
Person Re-Identification with a Locally Aware Transformer Charu Sharma S. R. Kapil David Chapman ViT 82 45 0 07 Jun 2021
Exploring the Limits of Out-of-Distribution Detection Stanislav Fort Jie Jessie Ren Balaji Lakshminarayanan 103 342 0 06 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan Gomez Tom Rainforth Y. Gal OOD 3DPC 120 142 0 04 Jun 2021
Personalizing Pre-trained Models Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa A. Hazariwala Pattie Maes VLM 91 5 0 02 Jun 2021
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images Mehdi Cherti J. Jitsev LM&MA 94 24 0 31 May 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? Dapeng Hu Shipeng Yan Qizhengqiu Lu Lanqing Hong Hailin Hu Yifan Zhang Zhenguo Li Xinchao Wang Jiashi Feng 123 29 0 25 Apr 2021
Asymmetric Loss For Multi-Label Classification Emanuel Ben-Baruch T. Ridnik Nadav Zamir Asaf Noy Itamar Friedman M. Protter Lihi Zelnik-Manor 112 547 0 29 Sep 2020
Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised Attention Andrés C. Rodríguez Stefano Dáronco Konrad Schindler Jan Dirk Wegner 32 4 0 20 Mar 2020
ClusterFit: Improving Generalization of Visual Representations Xueting Yan Ishan Misra Abhinav Gupta Deepti Ghadiyaram D. Mahajan SSL VLM 134 133 0 06 Dec 2019
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 213 487 0 25 Nov 2019
Distributed Learning of Deep Neural Networks using Independent Subnet Training John Shelton Hyatt Cameron R. Wolfe Michael Lee Yuxin Tang Anastasios Kyrillidis Christopher M. Jermaine OOD 92 39 0 04 Oct 2019