Negative Margin Matters: Understanding Margin in Few-shot Classification

26 March 2020

Qi Li

Papers citing "Negative Margin Matters: Understanding Margin in Few-shot Classification"

50 / 129 papers shown

Title
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 176 5 0 17 Jan 2025
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning Dunwei Tu Huiyu Yi T. Zhang Ruotong Li Furao Shen Jian Zhao 35 0 0 14 Nov 2024
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 82 4 0 08 Oct 2024
A Feature Generator for Few-Shot Learning Heethanjan Kanagalingam Thenukan Pathmanathan Navaneethan Ketheeswaran Mokeeshan Vathanakumar Mohamed Afham Ranga Rodrigo 61 0 0 21 Sep 2024
Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning Hao-Wei Chiang Chi-Tse Huang Hsiang-Yun Cheng P. Tseng Ming-Hsiu Lee An-Yeu Wu 53 0 0 12 Sep 2024
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 93 0 0 12 Aug 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning Xiaojie Li Yibo Yang Jianlong Wu Guohao Li Ming-Hsuan Yang Liqiang Nie M. Zhang Mamba 99 6 0 08 Jul 2024
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning Weihao Jiang Chang-Shu Liu Kun He ViT 110 0 0 06 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Leilei Gan Kun Kuang OODD 84 12 0 30 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 83 0 0 25 Apr 2024
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition Hefeng Wu Guangzhi Ye Ziyang Zhou Ling Tian Qing Wang Liang Lin 76 3 0 13 Jan 2024
Does Few-shot Learning Suffer from Backdoor Attacks? Xinwei Liu Xiaojun Jia Jindong Gu Yuan Xun Siyuan Liang Xiaochun Cao 129 20 0 31 Dec 2023
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration Qiwen Wang Da-Wei Zhou Yi-Kai Zhang De-Chuan Zhan Han-Jia Ye CLL 130 46 0 08 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 131 4 0 05 Dec 2023
Few-Shot Classification & Segmentation Using Large Language Models Agent Tian Meng Yang Tao Wuliang Yin VLM 100 1 0 19 Nov 2023
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning Fuyuan Hu Jian Zhang Fan Lyu Linyan Li Fenglei Xu CLL 84 3 0 31 Oct 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions Tianxu Wu Shuo Ye Shuhuang Chen Qinmu Peng Xinge You DiffM 85 3 0 15 Sep 2023
Big-model Driven Few-shot Continual Learning Ziqi Gu Chunyan Xu Zihan Lu Xin Liu Anbo Dai Zhen Cui CLL 59 1 0 02 Sep 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip Torr Dacheng Tao Guohao Li CLL 96 11 0 03 Aug 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification Subeen Lee WonJun Moon Hyun Seok Seong Jae-Pil Heo 83 1 0 28 Jul 2023
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis Mingyuan Liu Lu Xu Jicong Zhang 73 5 0 10 Jul 2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation Dahyun Kang Piotr Koniusz Minsu Cho Naila Murray VLM ViT 85 26 0 07 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 94 0 0 04 Jul 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning Yifan Zhao Tong Zhang Jia Li Yonghong Tian 82 20 0 18 Jun 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 80 13 0 03 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang Fan Liu Delong Chen Jun Zhou 65 6 0 30 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 77 12 0 26 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 111 12 0 24 Apr 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning Anant Khandelwal CLL 69 0 0 08 Apr 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning Hao Chen Linyan Li Fan Lyu Fuyuan Hu Zhenping Xia Fenglei Xu CLL 67 0 0 24 Mar 2023
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection Jiawei Ma Yulei Niu Jincheng Xu Shiyuan Huang G. Han Shih-Fu Chang ObjD 79 37 0 16 Mar 2023
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning Marco D’Alessandro Alberto Alonso Enrique Calabrés M. Galar CLL 70 13 0 08 Mar 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning Yibo Yang Haobo Yuan Hefei Ling Zhouchen Lin Philip Torr Dacheng Tao CLL 111 107 0 06 Feb 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 91 5 0 02 Jan 2023
PatchMix Augmentation to Identify Causal Features in Few-shot Learning C. Xu Chen Liu Xinwei Sun Siqian Yang Yabiao Wang Chengjie Wang Yanwei Fu 62 17 0 29 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 100 3 0 16 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 77 8 0 14 Nov 2022
MarginNCE: Robust Sound Localization with a Negative Margin Sooyoung Park Arda Senocak Joon Son Chung SSL 70 14 0 03 Nov 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid Jing Xu Xu Luo Xinglin Pan Wenjie Pei Yanan Li Zenglin Xu 84 23 0 30 Oct 2022
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation Yixiong Zou Shanghang Zhang Yuhua Li Rui Li CLL 54 66 0 10 Oct 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport D. Guo Longlong Tian He Zhao Mingyuan Zhou H. Zha OODD 74 20 0 09 Oct 2022
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment Zican Zha Hao Tang Yunlian Sun Jinhui Tang 100 78 0 04 Oct 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 83 16 0 18 Sep 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 101 51 0 23 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-Man Cheung BDL 65 13 0 23 Aug 2022
Gradient-Based Meta-Learning Using Uncertainty to Weigh Loss for Few-Shot Learning Lin Ding Peng Liu Wenfeng Shen Weijia Lu Shengbo Chen UQCV 34 3 0 17 Aug 2022
Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu Liangjiang Wen Jianzhuang Liu Yajing Liu Xinmei Tian SSL 101 37 0 19 Jul 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 108 7 0 18 Jul 2022
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation Mengping Yang Zhe Wang Ziqiu Chi Wenyi Feng 87 51 0 15 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 81 47 0 04 Jul 2022