Do Better ImageNet Models Transfer Better?

23 May 2018

Papers citing "Do Better ImageNet Models Transfer Better?"

50 / 639 papers shown

Title
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion C. Kyrkou T. Theocharides 21 129 0 28 Apr 2021
ConTNet: Why not use convolution and transformer at the same time? Haotian Yan Zhe Li Weijian Li Changhu Wang Ming Wu Chuang Zhang ViT 12 76 0 27 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? Dapeng Hu Shipeng Yan Qizhengqiu Lu Lanqing Hong Hailin Hu Yifan Zhang Zhenguo Li Xinchao Wang Jiashi Feng 45 28 0 25 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 168 686 0 22 Apr 2021
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning Yuting Gao Jia-Xin Zhuang Xiaowei Guo Hao Cheng Xing Sun Ke Li Feiyue Huang 31 40 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 20 65 0 18 Apr 2021
SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network William Chan Daniel S. Park Chris A. Lee Yu Zhang Quoc V. Le Mohammad Norouzi AI4TS 29 135 0 05 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 15 57 0 01 Apr 2021
Facial Masks and Soft-Biometrics: Leveraging Face Recognition CNNs for Age and Gender Prediction on Mobile Ocular Images F. Alonso-Fernandez Kevin Hernandez Diaz Silvia Ramis Francisco J. Perales López J. Bigün CVBM 13 23 0 31 Mar 2021
Benchmarking Representation Learning for Natural World Image Collections Grant Van Horn Elijah Cole Sara Beery Kimberly Wilber Serge J. Belongie Oisin Mac Aodha SSL VLM 18 164 0 30 Mar 2021
Large Scale Visual Food Recognition Weiqing Min Zhiling Wang Yuxin Liu Mengjia Luo Lijuan Kang Xiaoming Wei Xiaolin K. Wei Shuqiang Jiang 26 139 0 30 Mar 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines Klemen Kotar Gabriel Ilharco Ludwig Schmidt Kiana Ehsani Roozbeh Mottaghi SSL 23 45 0 25 Mar 2021
A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam Chun-Fu Chen Rameswar Panda Leonid Karlinsky Richard J. Radke Rogerio Feris SSL 10 113 0 24 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 15 80 0 24 Mar 2021
Dynamic Slimmable Network Changlin Li Guangrun Wang Bing Wang Xiaodan Liang Zhihui Li Xiaojun Chang 18 143 0 24 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining Colorado Reed Xiangyu Yue Aniruddha Nrusimha Sayna Ebrahimi Vivek Vijaykumar ... Shanghang Zhang Devin Guillory Sean L. Metzger Kurt Keutzer Trevor Darrell 23 104 0 23 Mar 2021
Revisiting Self-Supervised Monocular Depth Estimation Ue-Hwan Kim Jong-Hwan Kim SSL MDE 28 7 0 23 Mar 2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning Zhigang Dai Bolun Cai Yugeng Lin Junying Chen SSL 17 6 0 19 Mar 2021
Is it enough to optimize CNN architectures on ImageNet? Lukas Tuggener Jürgen Schmidhuber Thilo Stadelmann 22 23 0 16 Mar 2021
uTHCD: A New Benchmarking for Tamil Handwritten OCR Noushath Shaffi Faizal Hajamohideen 11 23 0 13 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Tsung-Yi Lin Jonathon Shlens Barret Zoph 27 297 0 13 Mar 2021
The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression Yehuda Dar Daniel LeJeune Richard G. Baraniuk MLT 13 5 0 09 Mar 2021
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles Jevgenij Gamper Nasir M. Rajpoot 11 60 0 08 Mar 2021
Transfer Learning-Based Model Protection With Secret Key Maungmaung Aprilpyone Hitoshi Kiya FedML 6 5 0 05 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan F. Khan M. Shah 29 108 0 01 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 98 27,569 0 26 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
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 18 106 0 21 Feb 2021
Large-Scale Meta-Learning with Continual Trajectory Shifting Jaewoong Shin Haebeom Lee Boqing Gong Sung Ju Hwang 6 16 0 14 Feb 2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning Kento Nozawa Issei Sato SSL 11 43 0 13 Feb 2021
Explaining Neural Scaling Laws Yasaman Bahri Ethan Dyer Jared Kaplan Jaehoon Lee Utkarsh Sharma 19 248 0 12 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang Bryan Hooi Dapeng Hu Jian Liang Jiashi Feng 71 64 0 12 Feb 2021
Improving filling level classification with adversarial training Apostolos Modas Alessio Xompero Ricardo Sánchez-Matilla P. Frossard Andrea Cavallaro GAN 14 12 0 08 Feb 2021
Damage detection using in-domain and cross-domain transfer learning Z. Bukhsh N. Jansen Aaqib Saeed 26 42 0 07 Feb 2021
Do Question Answering Modeling Improvements Hold Across Benchmarks? Nelson F. Liu Tony Lee Robin Jia Percy Liang 12 13 0 01 Feb 2021
A Petri Dish for Histopathology Image Analysis Jerry W. Wei A. Suriawinata Bing Ren Xiaoying Liu Mikhail Lisovsky ... Michael Baker Naofumi Tomita Lorenzo Torresani Jason W. Wei Saeed Hassanpour 14 69 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
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 116 0 21 Jan 2021
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations Tao Wei Angelica I Aviles-Rivero Shuo Wang Yuan Huang F. Gilbert Carola-Bibiane Schönlieb C. L. P. Chen MedIm 11 14 0 20 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 65 101 0 18 Jan 2021
Supervised Transfer Learning at Scale for Medical Imaging Basil Mustafa Aaron Loh Jan Freyberg Patricia MacWilliams Megan Wilson ... Shruthi Prabhakara Umesh Telang Alan Karthikesalingam N. Houlsby Vivek Natarajan LM&MA 9 67 0 14 Jan 2021
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand Mehrshad Zandigohar Mo Han Deniz Erdogmus G. Schirner 11 10 0 13 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 392 142 0 13 Jan 2021
SEED: Self-supervised Distillation For Visual Representation Zhiyuan Fang Jianfeng Wang Lijuan Wang Lei Zhang Yezhou Yang Zicheng Liu SSL 231 190 0 12 Jan 2021
Phase Transitions in Transfer Learning for High-Dimensional Perceptrons Oussama Dhifallah Yue M. Lu 17 20 0 06 Jan 2021
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery Saba Dadsetan G. Rose N. Hovakimyan Jennifer Hobbs 17 7 0 17 Dec 2020
Weakly Supervised Label Smoothing Gustavo Penha C. Hauff 6 3 0 15 Dec 2020
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction QHwan Kim Joon-Hyuk Ko Sunghoon Kim Nojun Park W. Jhe BDL 24 21 0 15 Dec 2020
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 18 50 0 10 Dec 2020
The Lottery Ticket Hypothesis for Object Recognition Sharath Girish Shishira R. Maiya Kamal Gupta Hao Chen L. Davis Abhinav Shrivastava 75 60 0 08 Dec 2020