Boosting Few-Shot Learning With Adaptive Margin Loss

Boosting Few-Shot Learning With Adaptive Margin Loss

28 May 2020

Papers citing "Boosting Few-Shot Learning With Adaptive Margin Loss"

18 / 18 papers shown

Title
Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation Yang Chen Yueqi Duan Runzhong Zhang Yap-Peng Tan 3DPC 139 2 0 06 Feb 2025
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 22 1 0 21 May 2024
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification Kaipeng Zheng Weiran Huang Lichao Sun LM&MA MedIm VLM 25 0 0 12 Dec 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 26 2 0 09 Jul 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 47 7 0 28 May 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 47 4 0 20 Mar 2023
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 14 7 0 29 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Ganqu Cui Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 15 8 0 10 Nov 2022
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition Anqi Zhu Qiuhong Ke Mingming Gong James Bailey 31 21 0 21 Sep 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 36 342 0 13 May 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 23 20 0 07 Apr 2022
Binocular Mutual Learning for Improving Few-shot Classification Ziqi Zhou Xi Qiu Jiangtao Xie Jianan Wu Chi Zhang SSL 13 76 0 27 Aug 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 34 86 0 16 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 16 1 0 12 Jul 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 34 24 0 11 Jun 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 13 29 0 01 Apr 2021
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition Shiyuan Huang Jiawei Ma G. Han Shih-Fu Chang BDL 17 19 0 24 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 260 11,677 0 09 Mar 2017