Rethinking ImageNet Pre-training

21 November 2018

Piotr Dollár

Papers citing "Rethinking ImageNet Pre-training"

50 / 507 papers shown

Title
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 134 88 0 02 Mar 2022
Movies2Scenes: Using Movie Metadata to Learn Scene Representation Shixing Chen Chundi Liu Xiang Hao Xiaohan Nie Maxim Arap Raffay Hamid 67 17 0 22 Feb 2022
Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training Yi Lin Z. Qu Hao Chen Zhongke Gao Yuexiang Li Lili Xia Kai Ma Yefeng Zheng Kwang-Ting Cheng 70 27 0 16 Feb 2022
GiraffeDet: A Heavy-Neck Paradigm for Object Detection Yiqi Jiang Zhiyu Tan Junyan Wang Xiuyu Sun Ming Lin Hao Li ObjD 76 94 0 09 Feb 2022
How Low Can We Go? Pixel Annotation for Semantic Segmentation Daniel Kigli Ariel Shamir S. Avidan VLM 60 1 0 25 Jan 2022
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges A. Lengyel Robert-Jan Bruintjes Marcos Baptista-Rios O. Kayhan Davide Zambrano Nergis Tomen Jan van Gemert VLM 70 11 0 21 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 93 105 0 15 Jan 2022
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training Shu Zhen Zhang Zihao Li Hong-Yu Zhou Jiechao Ma Yizhou Yu 60 12 0 05 Jan 2022
Underwater Object Classification and Detection: first results and open challenges Andre Jesus Claudio Zito Claudio Tortorici E. Roura G. D. Masi ObjD 48 12 0 04 Jan 2022
Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition Qingyuan Gong Yu Liu Liqiang Zhang Renhe Liu ObjD VLM 135 4 0 22 Dec 2021
PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision Salehe Erfanian Ebadi Y. Jhang Alexander Zook S. Dhakad A. Crespi Pete Parisi S. Borkman Jonathan Hogins Sujoy Ganguly 71 21 0 17 Dec 2021
An Empirical Investigation of the Role of Pre-training in Lifelong Learning Sanket Vaibhav Mehta Darshan Patil Sarath Chandar Emma Strubell CLL 151 145 0 16 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 70 23 0 14 Dec 2021
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification Lin Wan Qianyan Jing Zongyuan Sun Chuan Zhang Zhihang Li Yehansen Chen SSL 77 5 0 12 Dec 2021
Learning from the Tangram to Solve Mini Visual Tasks Yizhou Zhao Liang Qiu Pan Lu Feng Shi Tian Han Song-Chun Zhu 90 5 0 12 Dec 2021
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition Cheng Peng Yangyang Li Ronghua Shang L. Jiao 91 14 0 07 Dec 2021
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective Yizhou Wang Shixiang Tang Feng Zhu Lei Bai Rui Zhao Donglian Qi Wanli Ouyang 104 53 0 01 Dec 2021
CLIP Meets Video Captioning: Concept-Aware Representation Learning Does Matter Bang-ju Yang Tong Zhang Yuexian Zou CLIP 70 20 0 30 Nov 2021
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection Zhenhong Sun Ming Lin Xiuyu Sun Zhiyu Tan Hao Li Rong Jin 143 33 0 26 Nov 2021
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective Xin Li Xin Jin Jun Fu Xiaoyuan Yu Bei Tong Zhibo Chen SupR 47 2 0 25 Nov 2021
Improved Fine-Tuning by Better Leveraging Pre-Training Data Ziquan Liu Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Xiangyang Ji Antoni B. Chan Rong Jin 65 42 0 24 Nov 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction Riccardo Barbano Johannes Leuschner Maximilian Schmidt Alexander Denker A. Hauptmann Peter Maass Bangti Jin 102 21 0 23 Nov 2021
Benchmarking Detection Transfer Learning with Vision Transformers Yanghao Li Saining Xie Xinlei Chen Piotr Dollar Kaiming He Ross B. Girshick 113 170 0 22 Nov 2021
TransMix: Attend to Mix for Vision Transformers Jieneng Chen Shuyang Sun Ju He Philip Torr Alan Yuille S. Bai ViT 125 110 0 18 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 98 56 0 08 Nov 2021
Personalized Benchmarking with the Ludwig Benchmarking Toolkit A. Narayan Piero Molino Karan Goel Willie Neiswanger Christopher Ré 76 11 0 08 Nov 2021
Recognizing Vector Graphics without Rasterization Xinyang Jiang Lu Liu Caihua Shan Yifei Shen Xuanyi Dong Dongsheng Li GNN 84 20 0 05 Nov 2021
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks Seungbum Hong Jihun Yoon Junmo Kim Min-Kook Choi SSL 28 1 0 25 Oct 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark Zhenxi Zhu Limin Wang Sheng Guo Gangshan Wu 148 32 0 24 Oct 2021
An attention-driven hierarchical multi-scale representation for visual recognition Zachary Wharton Chenglong Bao Asish Bera BDL 82 1 0 23 Oct 2021
StyleAlign: Analysis and Applications of Aligned StyleGAN Models Zongze Wu Yotam Nitzan Eli Shechtman Dani Lischinski 127 58 0 21 Oct 2021
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations Xinyu Zhang Ian Colbert Ken Kreutz-Delgado Srinjoy Das MQ 100 12 0 15 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 111 11 0 14 Oct 2021
Dense Uncertainty Estimation Jing Zhang Yuchao Dai Mochu Xiang Deng-Ping Fan Peyman Moghadam Mingyi He Christian J. Walder Kaihao Zhang Mehrtash Harandi Nick Barnes UQCV BDL 133 11 0 13 Oct 2021
Rethinking Person Re-Identification via Semantic-Based Pretraining Suncheng Xiang Jingsheng Gao Zi-Yu Zhang Mengyuan Guan Binghai Yan Ting Liu Xiaobo Li Yuzhuo Fu VLM 111 11 0 11 Oct 2021
Deep Long-Tailed Learning: A Survey Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 117 596 0 09 Oct 2021
Improving Fractal Pre-training Connor Anderson Ryan Farrell 143 27 0 06 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses Han Bao Yoshihiro Nagano Kento Nozawa SSL UQCV 87 22 0 06 Oct 2021
Video Temporal Relationship Mining for Data-Efficient Person Re-identification Siyu Chen Dengjie Li Lishuai Gao Fan Liang Wei Zhang Ling-guo Ma 49 1 0 01 Oct 2021
Automated Multi-Process CTC Detection using Deep Learning E. Ivanova K. Leong Andrew F. Laine 19 2 0 26 Sep 2021
Long Short View Feature Decomposition via Contrastive Video Representation Learning Nadine Behrmann Mohsen Fayyaz Juergen Gall M. Noroozi 66 36 0 23 Sep 2021
LGD: Label-guided Self-distillation for Object Detection Peizhen Zhang Zijian Kang Tong Yang Xinming Zhang N. Zheng Jian Sun ObjD 181 31 0 23 Sep 2021
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 159 28 0 19 Sep 2021
Label Assignment Distillation for Object Detection Hailun Zhang 26 2 0 16 Sep 2021
Multi-Scale Aligned Distillation for Low-Resolution Detection Lu Qi Jason Kuen Jiuxiang Gu Zhe Lin Yi Wang Yukang Chen Yanwei Li Jiaya Jia 96 53 0 14 Sep 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings M. Narayanan Vickram Rajendran Benjamin Kimia 73 14 0 13 Sep 2021
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data Shikun Zhang Omid Jafari P. Nagarkar VLM 36 24 0 08 Sep 2021
Learning 3D Mineral Prospectivity from 3D Geological Models Using Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit Hao Deng Yang Zheng Jin Chen Shuyang Yu K. Xiao Xiancheng Mao 32 45 0 02 Sep 2021
Benchmarking the Robustness of Instance Segmentation Models Said Fahri Altindis Yusuf Dalva Hamza Pehlivan Aysegül Dündar VLM OOD 225 12 0 02 Sep 2021
AP-10K: A Benchmark for Animal Pose Estimation in the Wild Hang Yu Yufei Xu Jing Zhang Wei Zhao Ziyu Guan Dacheng Tao 111 113 0 28 Aug 2021