Rethinking ImageNet Pre-training

21 November 2018

Piotr Dollár

Papers citing "Rethinking ImageNet Pre-training"

50 / 507 papers shown

Title
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision Zhijian Liu Simon Stent Jie Li John Gideon Song Han VLM 106 10 0 26 Aug 2021
Multi-Task Self-Training for Learning General Representations Golnaz Ghiasi Barret Zoph E. D. Cubuk Quoc V. Le Nayeon Lee SSL 91 101 0 25 Aug 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective? Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki S. Maeda Kohei Hayashi 92 12 0 25 Aug 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 79 45 0 23 Aug 2021
Supervised Compression for Resource-Constrained Edge Computing Systems Yoshitomo Matsubara Ruihan Yang Marco Levorato Stephan Mandt 118 58 0 21 Aug 2021
Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net Yu Qiu Yun-Hai Liu Le Zhang Jing Xu ViT 69 31 0 17 Aug 2021
Challenges for cognitive decoding using deep learning methods A. Thomas Christopher Ré R. Poldrack AI4CE 61 6 0 16 Aug 2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities Elias Eulig Piyapat Saranrittichai Chaithanya Kumar Mummadi K. Rambach William H. Beluch Xiahan Shi Volker Fischer 210 11 0 12 Aug 2021
Towards to Robust and Generalized Medical Image Segmentation Framework Yurong Chen OOD 67 3 0 09 Aug 2021
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models Hang Xu Ning Kang Gengwei Zhang Chuanlong Xie Xiaodan Liang Zhenguo Li OnRL 104 7 0 07 Aug 2021
Interpretable Visual Understanding with Cognitive Attention Network Xuejiao Tang Wenbin Zhang Yi Yu Kea Turner Hanyu Wang Mengyu Wang Eirini Ntoutsi 136 12 0 06 Aug 2021
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization Rui Qian Yuxi Li Huabin Liu John See Shuangrui Ding Xian Liu Dian Li Weiyao Lin 82 42 0 04 Aug 2021
Lung Sound Classification Using Co-tuning and Stochastic Normalization T. Nguyen Franz Pernkopf 51 94 0 04 Aug 2021
On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models Z. Emam Andrew Kondrich Sasha Harrison Felix Lau Yushi Wang Aerin Kim E. Branson VLM 50 13 0 31 Jul 2021
Open-World Entity Segmentation Lu Qi Jason Kuen Yi Wang Jiuxiang Gu Hengshuang Zhao Zhe Lin Philip Torr Jiaya Jia OCL SSeg VLM 152 82 0 29 Jul 2021
Addressing materials' microstructure diversity using transfer learning Aurèle Goetz Ali Riza Durmaz Martin Müller Akhil Thomas D. Britz P. Kerfriden C. Eberl OOD 62 21 0 29 Jul 2021
Improve Unsupervised Pretraining for Few-label Transfer Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Lei Zhang Qi Chu B. Liu Nenghai Yu SSL 67 20 0 26 Jul 2021
Exploring Set Similarity for Dense Self-supervised Representation Learning Zhaoqing Wang Qiang Li Guoxin Zhang Pengfei Wan Wen Zheng N. Wang Biwei Huang Tongliang Liu SSL 86 44 0 19 Jul 2021
Non-binary deep transfer learning for image classification J. Plested Xuyang Shen Tom Gedeon MQ 74 5 0 19 Jul 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks Xin Dong Hongxu Yin J. Álvarez Jan Kautz Pavlo Molchanov H. T. Kung MIACV 83 8 0 13 Jul 2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation Hao Zheng Jun Han Hongxiao Wang Lin Yang Zhuo Zhao Chaoli Wang Benlin Liu 81 23 0 10 Jul 2021
CSL-YOLO: A New Lightweight Object Detection System for Edge Computing Yumeng Zhang Chun-Chieh Lee J. Hsieh Kuo-Chin Fan ObjD 34 21 0 10 Jul 2021
A Dual-Purpose Deep Learning Model for Auscultated Lung and Tracheal Sound Analysis Based on Mixed Set Training Fu-Shun Hsu Shang-Ran Huang Chang-Fu Su Chien-Wen Huang Yuan-Ren Cheng ... Nian-Jhen Lin Wan-Ling Tsai Ching-Shiang Lu Chuan Chen F. Lai 57 5 0 09 Jul 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 122 44 0 07 Jul 2021
Unsupervised Knowledge-Transfer for Learned Image Reconstruction Riccardo Barbano Ž. Kereta A. Hauptmann Simon Arridge Bangti Jin 71 11 0 06 Jul 2021
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory Xuejiao Tang Xin Huang Wenbin Zhang T. Child Qiong Hu Zhen Liu Ji Zhang LRM 81 19 0 04 Jul 2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models Yang Shu Zhi Kou Zhangjie Cao Jianmin Wang Mingsheng Long 74 44 0 29 Jun 2021
K-Net: Towards Unified Image Segmentation Wenwei Zhang Jiangmiao Pang Kai-xiang Chen Chen Change Loy ISeg 127 372 0 28 Jun 2021
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs Xingyuan Bu Junran Peng Junjie Yan Tieniu Tan Zhaoxiang Zhang ObjD VLM 144 53 0 21 Jun 2021
Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? Steven Gutstein Brent Lance Sanjay Shakkottai 29 1 0 21 Jun 2021
ImageNet Pre-training also Transfers Non-Robustness Jiaming Zhang Jitao Sang Qiaomin Yi Yunfan Yang Huiwen Dong Jian Yu 63 3 0 21 Jun 2021
Multirate Training of Neural Networks Tiffany J. Vlaar Benedict Leimkuhler 55 4 0 20 Jun 2021
Joining datasets via data augmentation in the label space for neural networks Jake Zhao Mingfeng Ou Linji Xue Yunkai Cui Sai Wu Gang Chen 36 2 0 17 Jun 2021
Pre-Trained Models: Past, Present and Future Xu Han Zhengyan Zhang Ning Ding Yuxian Gu Xiao Liu ... Jie Tang Ji-Rong Wen Jinhui Yuan Wayne Xin Zhao Jun Zhu AIFin MQ AI4MH 177 863 0 14 Jun 2021
Knowledge distillation: A good teacher is patient and consistent Lucas Beyer Xiaohua Zhai Amelie Royer L. Markeeva Rohan Anil Alexander Kolesnikov VLM 109 300 0 09 Jun 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection Amir Bar Xin Wang Vadim Kantorov Colorado Reed Roei Herzig Gal Chechik Anna Rohrbach Trevor Darrell Amir Globerson ViT 79 118 0 08 Jun 2021
Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics Shiqi Gong Qi Meng Yue Wang Lijun Wu Wei Chen Zhi-Ming Ma Tie-Yan Liu 57 4 0 08 Jun 2021
Rethinking Training from Scratch for Object Detection Yang Li Hong Zhang Yu Zhang VLM OnRL ObjD 62 5 0 06 Jun 2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection Yuxin Fang Bencheng Liao Xinggang Wang Jiemin Fang Jiyang Qi Rui Wu Jianwei Niu Wenyu Liu ViT 80 326 0 01 Jun 2021
A study on the plasticity of neural networks Tudor Berariu Wojciech M. Czarnecki Soham De J. Bornschein Samuel L. Smith Razvan Pascanu Claudia Clopath CLL AI4CE 79 32 0 31 May 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 136 614 0 27 May 2021
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy K. Arnavaz Oswin Krause Kilian Zepf Jelena M. Krivokapic Silja Heilmann J. A. Bærentzen P. Nyeng Aasa Feragen 37 2 0 20 May 2021
Rethinking "Batch" in BatchNorm Yuxin Wu Justin Johnson BDL 123 66 0 17 May 2021
Instances as Queries Yuxin Fang Shusheng Yang Xinggang Wang Yu Li Chen Fang Ying Shan Bin Feng Wenyu Liu ISeg 94 261 0 05 May 2021
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay Jian Jiang Edoardo Cetin Oya Celiktutan 51 9 0 21 Apr 2021
A Competitive Method to VIPriors Object Detection Challenge Fei Shen Xin He Mengwan Wei Yihui Xie 50 9 0 19 Apr 2021
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 78 67 0 18 Apr 2021
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code Zimin Chen Steve Kommrusch Monperrus Martin 102 128 0 16 Apr 2021
Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining Yueh-Cheng Liu Yu-Kai Huang HungYueh Chiang Hung-Ting Su Zhe-Yu Liu Chin-Tang Chen Ching-Yu Tseng Winston H. Hsu 3DPC 48 35 0 10 Apr 2021
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling Jonas Dippel Steffen Vogler Johannes Höhne 95 21 0 09 Apr 2021