Instance-based Max-margin for Practical Few-shot Recognition

27 May 2023

Papers citing "Instance-based Max-margin for Practical Few-shot Recognition"

11 / 11 papers shown

Title
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning Mushui Liu Fangtai Wu Bozheng Li Ziqian Lu Yunlong Yu Xi Li VLM 33 1 0 22 Aug 2024
Rectify the Regression Bias in Long-Tailed Object Detection Ke Zhu Minghao Fu Jie Shao Tianyu Liu Jianxin Wu 38 2 0 29 Jan 2024
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 30 9 0 05 Oct 2022
Few-Shot Classification with Contrastive Learning Zhanyuan Yang Jinghua Wang Ying J. Zhu OODD MQ 42 55 0 17 Sep 2022
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 5,775 0 29 Apr 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 210 322 0 16 Jan 2021
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 172 340 0 09 Mar 2020
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 167 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 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 39,194 0 01 Sep 2014