Rethinking ImageNet Pre-training

21 November 2018

Piotr Dollár

Papers citing "Rethinking ImageNet Pre-training"

50 / 166 papers shown

Title
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning Yankun Yu Huan Liu Min-Jun Fu Jun Chen Xiyao Wang Keyan Wang 20 65 0 18 Apr 2021
The surprising impact of mask-head architecture on novel class segmentation Vighnesh Birodkar Zhichao Lu Siyang Li V. Rathod Jonathan Huang ISeg 22 27 0 01 Apr 2021
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization Mengmeng Xu Juan-Manuel Perez-Rua Xiatian Zhu Bernard Ghanem Brais Martinez 15 27 0 28 Mar 2021
Efficient Visual Pretraining with Contrastive Detection Olivier J. Hénaff Skanda Koppula Jean-Baptiste Alayrac Aaron van den Oord Oriol Vinyals João Carreira VLM SSL 18 162 0 19 Mar 2021
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning A. Jaus Kailun Yang Rainer Stiefelhagen 32 36 0 01 Mar 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 22 69 0 25 Feb 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning Kaichao You Yong Liu Jianmin Wang Mingsheng Long 16 178 0 22 Feb 2021
Damage detection using in-domain and cross-domain transfer learning Z. Bukhsh N. Jansen Aaqib Saeed 26 42 0 07 Feb 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation Yuan Gong Yu-An Chung James R. Glass VLM 99 144 0 02 Feb 2021
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 107 46 0 29 Jan 2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 41 202 0 28 Jan 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification Ardhendu Behera Zachary Wharton Pradeep Ruwan Padmasiri Galbokka Hewage Asish Bera 59 108 0 17 Jan 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 226 968 0 13 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation Xiangyu Zhao Raviteja Vemulapalli Philip Mansfield Boqing Gong Bradley Green Lior Shapira Ying Nian Wu SSL SSeg 22 174 0 13 Dec 2020
Self-EMD: Self-Supervised Object Detection without ImageNet Songtao Liu Zeming Li Jian-jun Sun SSL ObjD 13 92 0 27 Nov 2020
How Well Do Self-Supervised Models Transfer? Linus Ericsson H. Gouk Timothy M. Hospedales SSL 30 274 0 26 Nov 2020
Transfer Learning for Oral Cancer Detection using Microscopic Images Rutwik Palaskar R. Vyas Vilas Khedekar S. Palaskar Pranjal Sahu 9 17 0 23 Nov 2020
Bi-tuning of Pre-trained Representations Jincheng Zhong Ximei Wang Zhi Kou Jianmin Wang Mingsheng Long 13 21 0 12 Nov 2020
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera Denis Tomè Thiemo Alldieck Patrick Peluse Gerard Pons-Moll Lourdes Agapito H. Badino Fernando De la Torre EgoV 13 74 0 02 Nov 2020
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition Chun-Fu Chen Rameswar Panda K. Ramakrishnan Rogerio Feris J. M. Cohn A. Oliva Quanfu Fan 21 95 0 22 Oct 2020
Which Model to Transfer? Finding the Needle in the Growing Haystack Cédric Renggli André Susano Pinto Luka Rimanic J. Puigcerver C. Riquelme Ce Zhang Mario Lucic 21 23 0 13 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 23 4 0 05 Oct 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives Alexander Mathis Steffen Schneider Jessy Lauer Mackenzie W. Mathis 20 165 0 01 Sep 2020
The Kolmogorov-Arnold representation theorem revisited Johannes Schmidt-Hieber 28 125 0 31 Jul 2020
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge Yinzheng Gu Yihan Pan Shizhe Chen 15 1 0 17 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 31 27 0 13 Jul 2020
Rescaling Egocentric Vision Dima Damen Hazel Doughty G. Farinella Antonino Furnari Evangelos Kazakos ... Davide Moltisanti Jonathan Munro Toby Perrett Will Price Michael Wray EgoV 14 435 0 23 Jun 2020
What shapes feature representations? Exploring datasets, architectures, and training Katherine L. Hermann Andrew Kyle Lampinen OOD 23 153 0 22 Jun 2020
To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks Sinong Wang Madian Khabsa Hao Ma 16 26 0 15 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 19 432 0 11 Jun 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 60 12,660 0 26 May 2020
Prototypical Contrastive Learning of Unsupervised Representations Junnan Li Pan Zhou Caiming Xiong S. Hoi SSL DRL 16 955 0 11 May 2020
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection Dongzhan Zhou Xinchi Zhou Hongwen Zhang Shuai Yi Wanli Ouyang VLM 18 16 0 25 Apr 2020
How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition George Sterpu Christian Saam N. Harte 29 28 0 17 Apr 2020
Volumetric Attention for 3D Medical Image Segmentation and Detection Xudong Wang Shizhong Han Yunqiang Chen Dashan Gao Nuno Vasconcelos 3DPC 21 81 0 04 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 17 136 0 31 Mar 2020
A comprehensive study on the prediction reliability of graph neural networks for virtual screening Soojung Yang K. Lee Seongok Ryu 11 7 0 17 Mar 2020
Conditional Convolutions for Instance Segmentation Zhi Tian Chunhua Shen Hao Chen ISeg 171 597 0 12 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 54 18,277 0 13 Feb 2020
Solving Raven's Progressive Matrices with Neural Networks Tao Zhuo Mohan S. Kankanhalli 13 26 0 05 Feb 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 24 42 0 09 Jan 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 50 1,183 0 24 Dec 2019
Side-Aware Boundary Localization for More Precise Object Detection Jiaqi Wang Wenwei Zhang Yuhang Cao Kai-xiang Chen Jiangmiao Pang Tao Gong Jianping Shi Chen Change Loy Dahua Lin ObjD 24 137 0 09 Dec 2019
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection Lewei Yao Hang Xu Wei Zhang Xiaodan Liang Zhenguo Li 11 79 0 22 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 21 11,840 0 13 Nov 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang Justin Solomon SSL 3DPC 14 379 0 27 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 65 19,415 0 23 Oct 2019
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving V. Kumar S. Hiremath Stefan Milz Christian Witt Clément Pinard S. Yogamani Patrick Mäder MDE 37 73 0 07 Oct 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 19 91 0 29 Sep 2019
Towards Understanding the Transferability of Deep Representations Hong Liu Mingsheng Long Jianmin Wang Michael I. Jordan 16 25 0 26 Sep 2019