Rethinking ImageNet Pre-training

21 November 2018

Piotr Dollár

Papers citing "Rethinking ImageNet Pre-training"

50 / 507 papers shown

Title
Learning specialized activation functions with the Piecewise Linear Unit Yucong Zhou Zezhou Zhu Zhaobai Zhong 80 15 0 08 Apr 2021
The surprising impact of mask-head architecture on novel class segmentation Vighnesh Birodkar Zhichao Lu Siyang Li V. Rathod Jonathan Huang ISeg 86 27 0 01 Apr 2021
DAP: Detection-Aware Pre-training with Weak Supervision Yuanyi Zhong Jianfeng Wang Lijuan Wang Jian-wei Peng Yu-Xiong Wang Lei Zhang 65 15 0 30 Mar 2021
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays Xiaosong Wang Ziyue Xu Leo K. Tam Dong Yang Daguang Xu ViT MedIm 68 24 0 30 Mar 2021
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization Mengmeng Xu Juan-Manuel Perez-Rua Xiatian Zhu Guohao Li Brais Martinez 81 28 0 28 Mar 2021
USB: Universal-Scale Object Detection Benchmark Yosuke Shinya ObjD 113 13 0 25 Mar 2021
Rethinking Self-Supervised Learning: Small is Beautiful Yun Cao Jianxin Wu SSL 70 21 0 25 Mar 2021
Can Vision Transformers Learn without Natural Images? Kodai Nakashima Hirokatsu Kataoka Asato Matsumoto K. Iwata Nakamasa Inoue ViT 57 34 0 24 Mar 2021
Robust and Accurate Object Detection via Adversarial Learning Xiangning Chen Cihang Xie Mingxing Tan Li Zhang Cho-Jui Hsieh Boqing Gong AAML 72 72 0 23 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 78 166 0 19 Mar 2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning Zhigang Dai Bolun Cai Yugeng Lin Junying Chen SSL 68 6 0 19 Mar 2021
Spatially Consistent Representation Learning Byungseok Roh Wuhyun Shin Ildoo Kim Sungwoong Kim SSL 67 90 0 10 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors Jian Ding Enze Xie Hang Xu Chenhan Jiang Zhenguo Li Ping Luo Guisong Xia 66 17 0 08 Mar 2021
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning A. Jaus Kailun Yang Rainer Stiefelhagen 98 36 0 01 Mar 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 91 71 0 25 Feb 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning Kaichao You Yong Liu Jianmin Wang Mingsheng Long 99 189 0 22 Feb 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection Cheng Zhang Tai-Yu Pan Yandong Li Hexiang Hu D. Xuan Soravit Changpinyo Boqing Gong Wei-Lun Chao ObjD VLM 146 42 0 17 Feb 2021
Instance Localization for Self-supervised Detection Pretraining Ceyuan Yang Zhirong Wu Bolei Zhou Stephen Lin ViT SSL 172 149 0 16 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection Enze Xie Jian Ding Wenhai Wang Xiaohang Zhan Hang Xu Peize Sun Zhenguo Li Ping Luo 101 325 0 09 Feb 2021
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface Yonghao Song Lie Yang Xueyu Jia Longhan Xie 55 18 0 08 Feb 2021
Damage detection using in-domain and cross-domain transfer learning Zaharah Bukhsh N. Jansen Aaqib Saeed 63 43 0 07 Feb 2021
Instance and Panoptic Segmentation Using Conditional Convolutions Zhi Tian Bowen Zhang Hao Chen Chunhua Shen ISeg 134 42 0 05 Feb 2021
Scaling Laws for Transfer Danny Hernandez Jared Kaplan T. Henighan Sam McCandlish 100 251 0 02 Feb 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation Yuan Gong Yu-An Chung James R. Glass VLM 199 147 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 Luca Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 182 49 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 120 210 0 28 Jan 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 144 105 0 18 Jan 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification Ardhendu Behera Zachary Wharton Pradeep Ruwan Padmasiri Galbokka Hewage Asish Bera 118 110 0 17 Jan 2021
Self-Supervised Representation Learning from Flow Equivariance Yuwen Xiong Mengye Ren Wenyuan Zeng R. Urtasun SSL 97 29 0 16 Jan 2021
Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification Engkarat Techapanurak Takayuki Okatani OODD 54 9 0 07 Jan 2021
Global Context Networks Yue Cao Jiarui Xu Stephen Lin Fangyun Wei Han Hu ISeg 122 99 0 24 Dec 2020
Toward Transformer-Based Object Detection Josh Beal Eric Kim Eric Tzeng Dong Huk Park Andrew Zhai Dmitry Kislyuk ViT 99 215 0 17 Dec 2020
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices Shu Zhen Zhang Jincheng Xu Yu-Chun Chen Jiechao Ma Zihao Li Yizhou Wang Yizhou Yu MedIm 86 19 0 16 Dec 2020
Decoupled Self Attention for Accurate One Stage Object Detection Kehe Wu Zuge Chen Qi Ma Xiaoliang Zhang Wei Li ObjD 35 0 0 14 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Huayu Chen A. Srinivas Rui Qian Nayeon Lee E. D. Cubuk Quoc V. Le Barret Zoph ISeg 372 995 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 179 177 0 13 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Michael Carbin Zhangyang Wang 97 123 0 12 Dec 2020
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification Tianyu Zhang Lingxi Xie Longhui Wei Zijie Zhuang Yongfei Zhang Yue Liu Qi Tian 103 60 0 08 Dec 2020
Maximum Entropy Subspace Clustering Network Zhihao Peng Yuheng Jia Hui Liu Junhui Hou Qingfu Zhang 91 22 0 06 Dec 2020
Chair Segments: A Compact Benchmark for the Study of Object Segmentation Leticia Pinto-Alva Ian K. Torres Rosangel Garcia Ziyan Yang Vicente Ordonez 29 1 0 02 Dec 2020
Self-EMD: Self-Supervised Object Detection without ImageNet Songtao Liu Zeming Li Jian Sun SSL ObjD 167 94 0 27 Nov 2020
How Well Do Self-Supervised Models Transfer? Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 124 278 0 26 Nov 2020
Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation David Biertimpel Sindi Shkodrani A. S. Baslamisli N. Baka ISeg 70 1 0 23 Nov 2020
Transfer Learning for Oral Cancer Detection using Microscopic Images Rutwik Palaskar R. Vyas Vilas Khedekar S. Palaskar Pranjal Sahu 41 18 0 23 Nov 2020
Ranking Neural Checkpoints Yandong Li Xuhui Jia Ruoxin Sang Yukun Zhu Bradley Green Liqiang Wang Boqing Gong FedML ELM UQCV 112 49 0 23 Nov 2020
Boundary-sensitive Pre-training for Temporal Localization in Videos Mengmeng Xu Juan-Manuel Perez-Rua Victor Escorcia Brais Martínez Xiatian Zhu Li Zhang Guohao Li Tao Xiang 80 61 0 21 Nov 2020
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets Jianpeng Zhang Yutong Xie Yong-quan Xia Chunhua Shen 134 158 0 20 Nov 2020
Defocus Blur Detection via Salient Region Detection Prior Ming Qian Min Xia Chunyi Sun Zhiwei Wang L. Weng 35 1 0 19 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training Xinlong Wang Rufeng Zhang Chunhua Shen Tao Kong Lei Li SSL 101 689 0 18 Nov 2020
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers Zhigang Dai Bolun Cai Yugeng Lin Junying Chen ViT 87 24 0 18 Nov 2020