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Class-Specific Channel Attention for Few-Shot Learning

3 September 2022

Papers citing "Class-Specific Channel Attention for Few-Shot Learning"

50 / 52 papers shown

Title
Channel Importance Matters in Few-Shot Image Classification Xu Luo Jing Xu Zenglin Xu VLM 78 42 0 16 Jun 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 82 196 0 15 Apr 2022
The Self-Optimal-Transport Feature Transform Daniel Shalam Simon Korman OT 55 22 0 06 Apr 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 95 37 0 24 Jan 2022
Attention Mechanisms in Computer Vision: A Survey Meng-Hao Guo Tianhan Xu Jiangjiang Liu Zheng-Ning Liu Peng-Tao Jiang Tai-Jiang Mu Song-Hai Zhang Ralph Robert Martin Ming-Ming Cheng Shimin Hu 119 1,702 0 15 Nov 2021
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 90 21 0 26 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 77 37 0 18 Oct 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 81 187 0 22 Aug 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning Xu Luo Yuxuan Chen Liangjiang Wen Lili Pan Zenglin Xu VLM SSL 99 25 0 20 Jul 2021
Few-Shot Learning by Integrating Spatial and Frequency Representation Xiangyu Chen Guanghui Wang 61 27 0 11 May 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 118 112 0 01 Mar 2021
Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition Priyabrata Karmakar S. Teng Guojun Lu 39 27 0 14 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination Representation Hanwang Zhang Zhong Cao Ziang Yan Changshui Zhang 57 26 0 06 Feb 2021
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 80 54 0 07 Dec 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 277 336 0 22 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding Jinhai Yang Han Yang Lin Chen 33 20 0 11 Jul 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples Peyman Bateni Jarred Barber Jan-Willem van de Meent Frank Wood VLM SSL 77 56 0 17 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 62 167 0 06 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 395 1,988 0 11 Apr 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 209 347 0 09 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 66 196 0 09 Mar 2020
Meta-Learned Confidence for Few-shot Learning Seong Min Kye Haebeom Lee Hoirin Kim Sung Ju Hwang 36 23 0 27 Feb 2020
Prototype Rectification for Few-Shot Learning Jinlu Liu Liang Song Yongqiang Qin 81 248 0 25 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification Da Chen YueFeng Chen Yuhong Li Feng Mao Yuan He Hui Xue SSL 64 110 0 14 Nov 2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks Qilong Wang Banggu Wu Peng Fei Zhu P. Li W. Zuo Q. Hu 149 4,031 0 08 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 305 647 0 19 Sep 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 95 581 0 06 Sep 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 92 328 0 28 Jul 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification Xinzhe Li Qianru Sun Yaoyao Liu Shibao Zheng Qin Zhou Tat-Seng Chua Bernt Schiele SSL 68 270 0 03 Jun 2019
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond Yue Cao Jiarui Xu Stephen Lin Fangyun Wei Han Hu ISeg 86 1,573 0 25 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 116 1,768 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
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 151 619 0 07 Mar 2019
Attention in Natural Language Processing Andrea Galassi Marco Lippi Paolo Torroni GNN 55 479 0 04 Feb 2019
Global Second-order Pooling Convolutional Networks Zilin Gao Jiangtao Xie Qilong Wang P. Li 74 335 0 29 Nov 2018
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks Jie Hu Li Shen Samuel Albanie Gang Sun Andrea Vedaldi 73 576 0 29 Oct 2018
$A^2$ -Nets: Double Attention Networks Yunpeng Chen Yannis Kalantidis Jianshu Li Shuicheng Yan Jiashi Feng 79 532 0 27 Oct 2018
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks Abhijit Guha Roy Nassir Navab Christian Wachinger SSeg 113 380 0 23 Aug 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 227 16,598 0 17 Jul 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 100 930 0 21 May 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
CosFace: Large Margin Cosine Loss for Deep Face Recognition Haobo Wang Yitong Wang Zheng Zhou Xing Ji Dihong Gong Jin Zhou Zhifeng Li Wei Liu CVBM MQ 133 2,510 0 29 Jan 2018
Non-local Neural Networks Xinyu Wang Ross B. Girshick Abhinav Gupta Kaiming He OffRL 300 8,917 0 21 Nov 2017
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
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,557 0 05 Sep 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu Yandong Wen Zhiding Yu Ming Li Bhiksha Raj Le Song CVBM 234 2,804 0 26 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,150 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 84 1,456 0 07 Dec 2016
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 72 471 0 16 Jun 2016