Rethinking ImageNet Pre-training

21 November 2018

Piotr Dollár

Papers citing "Rethinking ImageNet Pre-training"

50 / 507 papers shown

Title
Slender Object Detection: Diagnoses and Improvements Zhaoyi Wan Yimin Chen Sutao Deng Kunpeng Chen Cong Yao Jiebo Luo ObjD 103 9 0 17 Nov 2020
Online Monitoring of Object Detection Performance During Deployment Q. Rahman Niko Sünderhauf Feras Dayoub 65 8 0 16 Nov 2020
Bi-tuning of Pre-trained Representations Jincheng Zhong Ximei Wang Zhi Kou Jianmin Wang Mingsheng Long 57 21 0 12 Nov 2020
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images Sambuddha Ghosal Pratik Shah 95 7 0 11 Nov 2020
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss William Prew T. Breckon M. Bordewich Ulrik R Beierholm 45 7 0 05 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain Hong Liu Jeff Z. HaoChen Colin Wei Tengyu Ma AAML 91 5 0 03 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 103 76 0 02 Nov 2020
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation A. Saha Prem Prasad Abdullah Thabit MedIm 40 21 0 31 Oct 2020
Pre-training Graph Transformer with Multimodal Side Information for Recommendation Yong Liu Susen Yang Chenyi Lei Guoxin Wang Haihong Tang Juyong Zhang Aixin Sun Chunyan Miao 29 4 0 23 Oct 2020
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition Chun-Fu Chen Yikang Shen K. Ramakrishnan Rogerio Feris J. M. Cohn A. Oliva Quanfu Fan 114 99 0 22 Oct 2020
Learning Curves for Analysis of Deep Networks Derek Hoiem Tanmay Gupta Zhizhong Li Michal Shlapentokh-Rothman 82 26 0 21 Oct 2020
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning Jianlei Chi YunHuan Qu Ting Liu Q. Zheng Heng Yin 91 57 0 21 Oct 2020
AutoBSS: An Efficient Algorithm for Block Stacking Style Search Yikang Zhang Jian Zhang Zhaobai Zhong 71 4 0 20 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 88 28 0 13 Oct 2020
MS $^2$ L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition Lilang Lin Sijie Song Wenhan Yang Jiaying Liu SSL 89 200 0 12 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 87 4 0 05 Oct 2020
Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment Q. Rahman Niko Sünderhauf Feras Dayoub 67 4 0 18 Sep 2020
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning L. Zaadnoordijk Tarek R. Besold R. Cusack SSL DRL 51 3 0 17 Sep 2020
EfficientSeg: An Efficient Semantic Segmentation Network V. B. Yesilkaynak Y. Sahin Gözde B. Ünal SSeg 38 8 0 14 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives Alexander Mathis Steffen Schneider Jessy Lauer Mackenzie W. Mathis 112 168 0 01 Sep 2020
What is being transferred in transfer learning? Behnam Neyshabur Hanie Sedghi Chiyuan Zhang 152 530 0 26 Aug 2020
Seesaw Loss for Long-Tailed Instance Segmentation Jiaqi Wang Wenwei Zhang Yuhang Zang Yuhang Cao Jiangmiao Pang Tao Gong Kai-xiang Chen Ziwei Liu Chen Change Loy Dahua Lin 118 240 0 23 Aug 2020
Matching Guided Distillation Kaiyu Yue Jiangfan Deng Feng Zhou 53 50 0 23 Aug 2020
LoCo: Local Contrastive Representation Learning Yuwen Xiong Mengye Ren R. Urtasun SSL DRL 91 70 0 04 Aug 2020
Uncovering the structure of clinical EEG signals with self-supervised learning Hubert J. Banville O. Chehab Aapo Hyvarinen Denis A. Engemann Alexandre Gramfort 94 199 0 31 Jul 2020
The Kolmogorov-Arnold representation theorem revisited Johannes Schmidt-Hieber 94 147 0 31 Jul 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas Guibas Or Litany 3DPC 248 647 0 21 Jul 2020
Pillar-based Object Detection for Autonomous Driving Yue Wang Alireza Fathi Abhijit Kundu David A. Ross C. Pantofaru Thomas Funkhouser Justin Solomon 3DPC 128 220 0 20 Jul 2020
Adding Seemingly Uninformative Labels Helps in Low Data Regimes Christos Matsoukas Albert Bou I Hernandez Yue Liu Karin Dembrower G. Miranda ... Johan Fredin Haslum Athanasios Zouzos Peter Lindholm Fredrik Strand Kevin Smith 32 13 0 20 Jul 2020
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings Ali Varamesh Tinne Tuytelaars VLM 54 4 0 18 Jul 2020
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search Xin Chen Yawen Duan Zewei Chen Hang Xu Zihao Chen Xiaodan Liang Tong Zhang Zhenguo Li OffRL 80 21 0 18 Jul 2020
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge Yinzheng Gu Yihan Pan Shizhe Chen 67 2 0 17 Jul 2020
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks Xinghao Chen Yiman Zhang Yunhe Wang VLM 33 15 0 16 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 114 27 0 13 Jul 2020
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching Xuhua Huang Jiarui Xu Yu-Wing Tai Chi-Keung Tang VOS 134 67 0 11 Jul 2020
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization Yunho Jeon Yongseok Choi Jaesun Park Subin Yi D.-Y. Cho Jiwon Kim 26 6 0 10 Jul 2020
AutoAssign: Differentiable Label Assignment for Dense Object Detection Benjin Zhu Jianfeng Wang Zhengkai Jiang Fuhang Zong Songtao Liu Zeming Li Jian Sun 98 223 0 07 Jul 2020
LabelEnc: A New Intermediate Supervision Method for Object Detection Miao Hao Yitao Liu Xinming Zhang Jian Sun 85 25 0 07 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation Farshid Varno Lucas May Petry Lisa Di-Jorio Stan Matwin CLL 62 2 0 02 Jul 2020
Rethinking Channel Dimensions for Efficient Model Design Dongyoon Han Sangdoo Yun Byeongho Heo Y. Yoo 3DV 85 86 0 02 Jul 2020
Unsupervised Learning of Video Representations via Dense Trajectory Clustering P. Tokmakov M. Hebert Cordelia Schmid SSL 59 22 0 28 Jun 2020
Localization Uncertainty Estimation for Anchor-Free Object Detection Youngwan Lee Joong-won Hwang Hyungil Kim Kimin Yun Yongjin Kwon Yuseok Bae Joungyoul Park 98 32 0 28 Jun 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 166 469 0 23 Jun 2020
What shapes feature representations? Exploring datasets, architectures, and training Katherine L. Hermann Andrew Kyle Lampinen OOD 104 157 0 22 Jun 2020
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search Jiemin Fang Yuzhu Sun Qian Zhang Kangjian Peng Yuan Li Wenyu Liu Xinggang Wang SSeg 118 34 0 21 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 352 4,110 0 17 Jun 2020
To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks Sinong Wang Madian Khabsa Hao Ma 60 26 0 15 Jun 2020
Spherical Motion Dynamics: Learning Dynamics of Neural Network with Normalization, Weight Decay, and SGD Ruosi Wan Zhanxing Zhu Xiangyu Zhang Jian Sun 78 11 0 15 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 112 656 0 11 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 173 437 0 11 Jun 2020