Big Transfer (BiT): General Visual Representation Learning

24 December 2019

Papers citing "Big Transfer (BiT): General Visual Representation Learning"

50 / 724 papers shown

Title
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality Lars Schmarje Vasco Grossmann Tim Michels Jakob Nazarenus M. Santarossa Claudius Zelenka Reinhard Koch 34 3 0 22 May 2023
Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning Evelyn J. Mannix H. Bondell SSL 20 0 0 17 May 2023
CLImage: Human-Annotated Datasets for Complementary-Label Learning Hsiu-Hsuan Wang Tan-Ha Mai Nai-Xuan Ye Weiliang Lin Hsuan-Tien Lin 20 1 0 15 May 2023
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets Tillmann Ohm M. Sola Andres Karjus Maximilian Schich 11 6 0 11 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 23 11 0 10 May 2023
Vision-Language Models in Remote Sensing: Current Progress and Future Trends Xiang Li Congcong Wen Yuan Hu Zhenghang Yuan Xiao Xiang Zhu VLM 16 71 0 09 May 2023
Reduction of Class Activation Uncertainty with Background Information H. M. D. Kabir 15 9 0 05 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement Ailin Deng Miao Xiong Bryan Hooi 30 6 0 02 May 2023
Model-agnostic Measure of Generalization Difficulty Akhilan Boopathy Kevin Liu Jaedong Hwang Shu Ge Asaad Mohammedsaleh Ila Fiete 69 4 0 01 May 2023
Enhancing Inverse Problem Solutions with Accurate Surrogate Simulators and Promising Candidates Akihiro Fujii Hideki Tsunashima Yoshihiro Fukuhara Koji Shimizu S. Watanabe 9 1 0 26 Apr 2023
Depth-Relative Self Attention for Monocular Depth Estimation Kyuhong Shim Jiyoung Kim Gusang Lee B. Shim MDE 13 7 0 25 Apr 2023
Distilling from Similar Tasks for Transfer Learning on a Budget Kenneth Borup Cheng Perng Phoo Bharath Hariharan 22 2 0 24 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 36 1 0 21 Apr 2023
Generative models improve fairness of medical classifiers under distribution shifts Ira Ktena Olivia Wiles Isabela Albuquerque Sylvestre-Alvise Rebuffi Ryutaro Tanno ... Danielle Belgrave Pushmeet Kohli Alan Karthikesalingam A. Cemgil Sven Gowal OOD MedIm 21 76 0 18 Apr 2023
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training Yihao Chen Xianbiao Qi Jianan Wang Lei Zhang 18 16 0 17 Apr 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 32 288 0 17 Apr 2023
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images Carlos Rodriguez-Pardo Melania Prieto-Martin Dan Casas Elena Garces 23 12 0 13 Apr 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition Shuhuai Ren Aston Zhang Yi Zhu Shuai Zhang Shuai Zheng Mu Li Alexander J. Smola Xu Sun VPVLM VLM 19 28 0 10 Apr 2023
ElegansNet: a brief scientific report and initial experiments Francesco Bardozzo Andrea Terlizzi Pietro Lio' R. Tagliaferri 24 1 0 06 Apr 2023
MULLER: Multilayer Laplacian Resizer for Vision Zhengzhong Tu P. Milanfar Hossein Talebi 37 3 0 06 Apr 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Jonas Ngnawé Marianne Abémgnigni Njifon Jonathan Heek Yann N. Dauphin OOD 16 4 0 06 Apr 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 31 9 0 04 Apr 2023
Astroformer: More Data Might not be all you need for Classification Rishit Dagli 28 7 0 03 Apr 2023
DIME-FM: DIstilling Multimodal and Efficient Foundation Models Ximeng Sun Pengchuan Zhang Peizhao Zhang Hardik Shah Kate Saenko Xide Xia VLM 18 20 0 31 Mar 2023
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms Florin Condrea S. Rapaka Lucian Itu Puneet Sharma J. Sperl Mohamed Ali Marius Leordeanu 24 5 0 30 Mar 2023
DDP: Diffusion Model for Dense Visual Prediction Yuanfeng Ji Zhe Chen Enze Xie Lanqing Hong Xihui Liu Zhaoqiang Liu Tong Lu Zhenguo Li Ping Luo DiffM VLM 38 130 0 30 Mar 2023
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision Lucas Beyer Bo Wan Gagan Madan Filip Pavetić Andreas Steiner ... Emanuele Bugliarello Xiao Wang Qihang Yu Liang-Chieh Chen Xiaohua Zhai 49 8 0 30 Mar 2023
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking Limin Wang Bingkun Huang Zhiyu Zhao Zhan Tong Yinan He Yi Wang Yali Wang Yu Qiao VGen 49 325 0 29 Mar 2023
Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers Ashutosh Kumar Singh Vivek Kumar Singh 11 0 0 28 Mar 2023
Large-scale pretraining on pathological images for fine-tuning of small pathological benchmarks Masataka Kawai Noriaki Ota Shinsuke Yamaoka 16 6 0 28 Mar 2023
Sigmoid Loss for Language Image Pre-Training Xiaohua Zhai Basil Mustafa Alexander Kolesnikov Lucas Beyer CLIP VLM 19 935 0 27 Mar 2023
Semantic Prompt for Few-Shot Image Recognition Wentao Chen Chenyang Si Zhang Zhang Liangdao Wang Zilei Wang Tien-Ping Tan VLM 19 38 0 24 Mar 2023
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms Shikhar Tuli N. Jha 34 3 0 24 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper M. Keuper AAML 26 9 0 22 Mar 2023
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns Javier Gamazo Tejero M. Zinkernagel Sebastian Wolf Raphael Sznitman Pablo Márquez-Neila 33 4 0 21 Mar 2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future Jianing Qiu Lin Li Jiankai Sun Jiachuan Peng Peilun Shi ... Bo Xiao Wu Yuan Ningli Wang Dong Xu Benny P. L. Lo AI4MH LM&MA 40 127 0 21 Mar 2023
Reliability in Semantic Segmentation: Are We on the Right Track? Pau de Jorge Riccardo Volpi Philip H. S. Torr Grégory Rogez UQCV 24 19 0 20 Mar 2023
Instance-Conditioned GAN Data Augmentation for Representation Learning Pietro Astolfi Arantxa Casanova Jakob Verbeek Pascal Vincent Adriana Romero Soriano M. Drozdzal 19 6 0 16 Mar 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation Hui Tang K. Jia OOD 26 13 0 16 Mar 2023
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning Jaspreet Ranjit Tianlu Wang Baishakhi Ray Vicente Ordonez 31 2 0 14 Mar 2023
From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need Ziqing Yang Zeyang Sha Michael Backes Yang Zhang VPVLM VLM 35 3 0 09 Mar 2023
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning Xiaobao Guo Nithish Muthuchamy Selvaraj Zitong Yu A. Kong Bingquan Shen Alex C. Kot 33 8 0 09 Mar 2023
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection Han Yang William R. Gebhardt Alexander Ororbia Travis J. Desell OODD 17 0 0 07 Mar 2023
Your representations are in the network: composable and parallel adaptation for large scale models Yonatan Dukler Alessandro Achille Hao-Yu Yang Varsha Vivek L. Zancato Benjamin Bowman Avinash Ravichandran Charless C. Fowlkes A. Swaminathan Stefano Soatto 16 3 0 07 Mar 2023
A Challenging Benchmark for Low-Resource Learning Yudong Wang Chang Ma Qingxiu Dong Lingpeng Kong Jingjing Xu 56 3 0 07 Mar 2023
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer Shanu Kumar Abbaraju Soujanya Sandipan Dandapat Sunayana Sitaram Monojit Choudhury VLM 25 1 0 04 Mar 2023
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective Animesh Gupta Irtiza Hassan Dilip K. Prasad D. K. Gupta 21 2 0 03 Mar 2023
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning Zhenmei Shi Jiefeng Chen Kunyang Li Jayaram Raghuram Xi Wu Yingyu Liang S. Jha SSL 22 17 0 28 Feb 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection Ming Xu Zheng Lian B. Liu Jianhua Tao OODD 11 7 0 23 Feb 2023
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19 Tareque Rahman Ornob G. Roy Enamul Hassan 23 12 0 17 Feb 2023