Rethinking Generalization in Few-Shot Classification

15 June 2022

Mehrtash Harandi

Papers citing "Rethinking Generalization in Few-Shot Classification"

31 / 31 papers shown

Title
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification Kexin Di Xiuxing Li Yuyang Han Ziyu Li Qing Li Xia Wu VLM 58 0 0 10 Mar 2025
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class Qian Qiao Yu Xie Shaoyao Huang Fanzhang Li 29 0 0 12 Aug 2024
Siamese Transformer Networks for Few-shot Image Classification Weihao Jiang Shuoxi Zhang Kun He ViT 41 0 0 16 Jul 2024
Unleash the Power of Local Representations for Few-Shot Classification Shi Tang Guiming Luo Xinchen Ye Zhiyi Xia 28 0 0 02 Jul 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 37 1 0 21 May 2024
Class-relevant Patch Embedding Selection for Few-Shot Image Classification Weihao Jiang Haoyang Cui Kun He VLM 44 0 0 06 May 2024
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning Weihao Jiang Chang-Shu Liu Kun He ViT 58 0 0 06 May 2024
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models Leonardo Barcellona Alberto Bacchin Matteo Terreran Emanuele Menegatti Stefano Ghidoni 33 1 0 19 Apr 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning Rashindrie Perera Saman K. Halgamuge 48 2 0 07 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications Minyang Hu Hong Chang Zong Guo Bingpeng Ma Shiguang Shan Xilin Chen VLM 29 1 0 06 Mar 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 47 2 0 22 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 28 5 0 04 Feb 2024
Simple Semantic-Aided Few-Shot Learning Hai Zhang Junzhe Xu Shanlin Jiang Zhenan He VLM 20 7 0 30 Nov 2023
CHIP: Contrastive Hierarchical Image Pretraining Arpit Mittal Harshil Jhaveri Swapnil Mallick Abhishek Ajmera VLM 18 0 0 12 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Lingyu Si VLM ViT 54 1 0 05 Oct 2023
Mitigating the Effect of Incidental Correlations on Part-based Learning Gaurav Bhatt Deepayan Das Leonid Sigal Vineeth N. Balasubramanian 24 4 0 30 Sep 2023
Masking Strategies for Background Bias Removal in Computer Vision Models Ananthu Aniraj C. Dantas Dino Ienco Diego Marcos 24 5 0 23 Aug 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification Subeen Lee WonJun Moon Hyun Seok Seong Jae-Pil Heo 27 0 0 28 Jul 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work Qiangchang Wang Yilong Yin 23 0 0 02 Jun 2023
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning Jin Yuan Yang Zhang Yangzhou Du Zhongchao Shi Xin Geng Jianping Fan Yong Rui 29 0 0 30 May 2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning S. Basu Daniela Massiceti S. Hu S. Feizi VLM 31 28 0 04 Apr 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers Hanxi Lin G. Han Jiawei Ma Shiyuan Huang Xudong Lin Shih-Fu Chang 24 35 0 25 Mar 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley Amos Storkey Antreas Antoniou Sam Devlin 25 6 0 30 Jan 2023
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 34 46 0 04 Jul 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 42 87 0 16 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 212 330 0 22 Jul 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 630 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017
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 296 39,198 0 01 Sep 2014