Fixing the train-test resolution discrepancy

14 June 2019

Andrea Vedaldi

Papers citing "Fixing the train-test resolution discrepancy"

50 / 231 papers shown

Title
When Does Contrastive Visual Representation Learning Work? Elijah Cole Xuan S. Yang Kimberly Wilber Oisin Mac Aodha Serge J. Belongie SSL 21 123 0 12 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 250 2,603 0 04 May 2021
All Tokens Matter: Token Labeling for Training Better Vision Transformers Zihang Jiang Qibin Hou Li-xin Yuan Daquan Zhou Yujun Shi Xiaojie Jin Anran Wang Jiashi Feng ViT 12 203 0 22 Apr 2021
Application of Computer Vision and Machine Learning for Digitized Herbarium Specimens: A Systematic Literature Review Burhan Rashid Hussein O. A. Malik Wee-Hong Ong Johan Willem Frederik Slik 6 4 0 18 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 19 26 0 06 Apr 2021
Confidence Calibration for Domain Generalization under Covariate Shift Yunye Gong Xiaoyu Lin Yi Yao Thomas G. Dietterich Ajay Divakaran Melinda Gervasio 17 26 0 01 Apr 2021
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study Zhiqiang Shen Zechun Liu Dejia Xu Zitian Chen Kwang-Ting Cheng Marios Savvides 13 75 0 01 Apr 2021
EfficientNetV2: Smaller Models and Faster Training Mingxing Tan Quoc V. Le EgoV 14 2,606 0 01 Apr 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 23 986 0 31 Mar 2021
Platform for Situated Intelligence D. Bohus Sean Andrist Ashley Feniello Nick Saw Mihai Jalobeanu Patrick Sweeney Anne Loomis Thompson Eric Horvitz 11 44 0 29 Mar 2021
Regular Polytope Networks F. Pernici Matteo Bruni C. Baecchi A. Bimbo 21 26 0 29 Mar 2021
Neural Networks for Semantic Gaze Analysis in XR Settings Lena Stubbemann Dominik Dürrschnabel R. Refflinghaus 20 5 0 18 Mar 2021
Learning to Resize Images for Computer Vision Tasks Hossein Talebi P. Milanfar 24 118 0 17 Mar 2021
TransFG: A Transformer Architecture for Fine-grained Recognition Ju He Jieneng Chen Shuai Liu Adam Kortylewski Cheng Yang Yutong Bai Changhu Wang ViT 33 375 0 14 Mar 2021
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones Cheng Cui Ruoyu Guo Yuning Du Dongliang He Fu Li ... Jizhou Huang Xiaoguang Hu Dianhai Yu Errui Ding Yanjun Ma 12 17 0 10 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 27,632 0 26 Feb 2021
Training Aware Sigmoidal Optimizer David Macêdo Pedro Dreyer Teresa B Ludermir Cleber Zanchettin ODL 11 2 0 17 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 223 512 0 11 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,693 0 11 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 17 12 0 09 Feb 2021
Characterizing signal propagation to close the performance gap in unnormalized ResNets Andrew Brock Soham De Samuel L. Smith 26 120 0 21 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
Model Extraction and Defenses on Generative Adversarial Networks Hailong Hu Jun Pang SILM MIACV 31 14 0 06 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 66 56 0 05 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 63 6,563 0 23 Dec 2020
Quantizing data for distributed learning Osama A. Hanna Yahya H. Ezzeldin Christina Fragouli Suhas Diggavi FedML 39 20 0 14 Dec 2020
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning A. Inci Mehmet Meric Isgenc Diana Marculescu 8 20 0 08 Dec 2020
Neural Prototype Trees for Interpretable Fine-grained Image Recognition Meike Nauta Ron van Bree C. Seifert 57 261 0 03 Dec 2020
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models Xiaofang Wang Dan Kondratyuk Eric Christiansen Kris M. Kitani Y. Alon Elad Eban 11 45 0 03 Dec 2020
Empirical Study on the Software Engineering Practices in Open Source ML Package Repositories Minke Xiu Ellis E. Eghan Zhen Ming Z. Jiang Bram Adams 9 0 0 02 Dec 2020
Grafit: Learning fine-grained image representations with coarse labels Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Hervé Jégou SSL 22 68 0 25 Nov 2020
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation Yoshitomo Matsubara 11 25 0 25 Nov 2020
Efficient Conditional Pre-training for Transfer Learning Shuvam Chakraborty Burak Uzkent Kumar Ayush Kumar Tanmay Evan Sheehan Stefano Ermon VLM 21 17 0 20 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 41 39,217 0 22 Oct 2020
Ensembles of Spiking Neural Networks Georgiana Neculae Oliver Rhodes Gavin Brown 11 4 0 15 Oct 2020
Video Action Understanding Matthew Hutchinson V. Gadepally 28 20 0 13 Oct 2020
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection Nian Liu Ni Zhang Ling Shao Junwei Han 22 97 0 12 Oct 2020
BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision A. Redfern Lijun Zhu Molly K. Newquist MQ 20 12 0 01 Oct 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 15 63 0 17 Sep 2020
Object Detection-Based Variable Quantization Processing Likun Liu Huayi Qi MQ 4 0 0 01 Sep 2020
Frame-To-Frame Consistent Semantic Segmentation M. Rebol Patrick Knöbelreiter VOS 6 7 0 03 Aug 2020
The pursuit of beauty: Converting image labels to meaningful vectors S. Karatsiolis A. Kamilaris 13 0 0 03 Aug 2020
A Simple and Interpretable Predictive Model for Healthcare S. Maji Raghav Bali S. Ankem Kishore V Ayyadevara 14 1 0 27 Jul 2020
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers Jinpyo Kim Wookeun Jung Hyungmo Kim Jaejin Lee 6 31 0 21 Jul 2020
Resolution Switchable Networks for Runtime Efficient Image Recognition Yikai Wang F. Sun Duo Li Anbang Yao 22 25 0 19 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 8 153 0 16 Jul 2020
Learning to Learn Parameterized Classification Networks for Scalable Input Images Duo Li Anbang Yao Qifeng Chen 14 11 0 13 Jul 2020
SpinalNet: Deep Neural Network with Gradual Input H. M. D. Kabir Moloud Abdar S. M. Jalali Abbas Khosravi A. Atiya S. Nahavandi D. Srinivasan AI4CE 22 131 0 07 Jul 2020
Rethinking Bottleneck Structure for Efficient Mobile Network Design Zhou Daquan Qibin Hou Yunpeng Chen Jiashi Feng Shuicheng Yan 19 196 0 05 Jul 2020
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition D. Korsch P. Bodesheim Joachim Denzler 6 8 0 04 Jul 2020