FHIST: A Benchmark for Few-shot Classification of Histological Images

31 May 2022

Fereshteh Shakeri

Samira Ebrahimi Kahou

OOD

VLM

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Papers citing "FHIST: A Benchmark for Few-shot Classification of Histological Images"

46 / 46 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation Qinji Yu K. Dang Nima Tajbakhsh Demetri Terzopoulos Xiaowei Ding SSeg 52 49 0 18 Mar 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,805 0 23 Dec 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 108 108 0 15 Oct 2020
Transductive Information Maximization For Few-Shot Learning Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony José Dolz Pablo Piantanida Ismail Ben Ayed VLM 72 79 0 25 Aug 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chen Chen Turkay Kart Huaqi Qiu Daniel Rueckert 86 210 0 20 Jul 2020
Laplacian Regularized Few-Shot Learning Imtiaz Masud Ziko Jose Dolz Eric Granger Ismail Ben Ayed 63 176 0 28 Jun 2020
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images Xiaocong Chen Lina Yao Tao Zhou Jinming Dong Yu Zhang 62 170 0 16 Jun 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 77 394 0 23 Jan 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 142 581 0 28 Dec 2019
Lung and Colon Cancer Histopathological Image Dataset (LC25000) MD Andrew A. Borkowski MD PhD2 Marilyn M. Bui MD L. Brannon Thomas MT1 Catherine P. Wilson RN1 Lauren A. DeLand MD1 Stephen M. Mastorides LM&MA MedIm 51 234 0 16 Dec 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger Laurens van der Maaten VLM 71 341 0 12 Nov 2019
Deep Learning for Whole Slide Image Analysis: An Overview Dennis Núñez Ognjen Arandjelović Peter D Caie MedIm 83 270 0 18 Oct 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 99 582 0 06 Sep 2019
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation Jaehoon Choi Minki Jeong Taekyung Kim Changick Kim 59 95 0 01 Aug 2019
Baby steps towards few-shot learning with multiple semantics Eli Schwartz Leonid Karlinsky Rogerio Feris Raja Giryes A. Bronstein VLM 103 106 0 05 Jun 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 100 597 0 01 May 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 116 1,769 0 08 Apr 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 96 1,269 0 07 Apr 2019
Progressive Feature Alignment for Unsupervised Domain Adaptation Chaoqi Chen Weiping Xie Wenbing Huang Yu Rong Xinghao Ding Yue Huang Tingyang Xu Junzhou Huang 67 413 0 21 Nov 2018
BACH: Grand Challenge on Breast Cancer Histology Images Guilherme Aresta Teresa Araújo S. Kwok Sai Saketh Chennamsetty P. MohammedSafwanK. ... L. Boulmane A. Campilho C. Eloy A. Polónia Paulo Aguiar 405 570 0 13 Aug 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 148 1,374 0 16 Jul 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 278 672 0 07 Jun 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 96 1,313 0 23 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 100 930 0 21 May 2018
Multi-level Semantic Feature Augmentation for One-shot Learning Z. Chen Yanwei Fu Yinda Zhang Yu-Gang Jiang Xiangyang Xue Leonid Sigal 76 235 0 15 Apr 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 74 1,284 0 02 Mar 2018
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond Piotr Koniusz Yusuf Tas Hongguang Zhang Mehrtash Harandi Fatih Porikli Rui Zhang 58 7 0 04 Feb 2018
Low-Shot Learning from Imaginary Data Yu-Xiong Wang Ross B. Girshick M. Hebert Bharath Hariharan VLM 110 677 0 16 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 308 4,049 0 16 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 140 1,073 0 12 Nov 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions Scott E. Reed Yutian Chen T. Paine Aaron van den Oord S. M. Ali Eslami Danilo Jimenez Rezende Oriol Vinyals Nando de Freitas 97 88 0 27 Oct 2017
Machine learning methods for histopathological image analysis D. Komura S. Ishikawa 79 699 0 04 Sep 2017
Deep Learning for Medical Image Processing: Overview, Challenges and Future M. I. Razzak S. Naz Ahmad Zaib 54 1,013 0 22 Apr 2017
Generate To Adapt: Aligning Domains using Generative Adversarial Networks S. Sankaranarayanan Yogesh Balaji Carlos D. Castillo Rama Chellappa GAN OOD 121 651 0 06 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,154 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 831 11,952 0 09 Mar 2017
Meta Networks Tsendsuren Munkhdalai Hong-ye Yu GNN AI4CE 110 1,069 0 02 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 700 10,826 0 19 Feb 2017
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images Aron Yu Kristen Grauman 72 150 0 19 Dec 2016
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation Muhammad Ghifary W. Kleijn Mengjie Zhang David Balduzzi Wen Li 88 866 0 12 Jul 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 378 7,343 0 13 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 353 8,002 0 23 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 242 6,043 0 26 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,615 0 01 Sep 2014