Improved Few-Shot Visual Classification

7 December 2019

Papers citing "Improved Few-Shot Visual Classification"

47 / 47 papers shown

Title
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning Ruixiao Shi Fu Feng Yucheng Xie Jing Wang Xin Geng 29 0 0 13 May 2025
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition Congqi Cao Peiheng Han Y. Zhang Yating Yu Qinyi Lv Lingtong Min Yanning Zhang VLM 47 0 0 09 May 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models Yassir Bendou Amine Ouasfi Vincent Gripon A. Boukhayma VLM 51 0 0 19 Jan 2025
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild Donggyun Kim Seongwoong Cho Semin Kim Chong Luo Seunghoon Hong VLM 45 2 0 29 Apr 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning Yuwei Tang Zhenyi Lin Qilong Wang Pengfei Zhu Qinghua Hu 36 11 0 13 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Marcus Klasson Arno Solin 45 0 0 11 Apr 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes Raphael Lafargue Yassir Bendou Bastien Pasdeloup J. Diguet Ian Reid Vincent Gripon Jack Valmadre 39 0 0 29 Jan 2024
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 54 1 0 05 Oct 2023
Learning to Drive Anywhere Ruizhao Zhu Peng Huang Eshed Ohn-Bar Venkatesh Saligrama 42 6 0 21 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification Junjie Zhu Yiying Li Chunping Qiu Ke Yang Naiyang Guan Xiaodong Yi 32 6 0 17 Sep 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 43 0 0 13 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 37 15 0 04 Apr 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Li Liu CLL 31 7 0 12 Feb 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin Samuel Yu Zhiyi Kuang Deepak Pathak Deva Ramana VLM 20 100 0 16 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers C. Xu Siqian Yang Yabiao Wang Zhanxiong Wang Yanwei Fu Xiangyang Xue 35 16 0 06 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 38 3 0 22 Dec 2022
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 12 13 0 30 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners E. T. Oldewage J. Bronskill Richard Turner 21 3 0 23 Nov 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts Tao Zhong Zhixiang Chi Li Gu Yang Wang Yuanhao Yu Jingshan Tang OOD 66 29 0 08 Oct 2022
AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization Dazhuo Wang Jianfei Yang Wei Cui Lihua Xie S. Sun 27 28 0 21 Sep 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 34 47 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard Turner 3DH FedML 43 27 0 17 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 22 47 0 12 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 32 32 0 25 Mar 2022
Spatio-temporal Relation Modeling for Few-shot Action Recognition Anirudh Thatipelli Sanath Narayan Salman Khan Rao Muhammad Anwer Fahad Shahbaz Khan Guohao Li ViT 27 88 0 09 Dec 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 32 10 0 14 Oct 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification Mingcheng Hou Issei Sato VLM 31 21 0 11 Oct 2021
A Mutual learning framework for Few-shot Sound Event Detection Dongchao Yang Helin Wang Yuexian Zou Zhongjie Ye Wenwu Wang 34 25 0 09 Oct 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications Sai Vidyaranya Nuthalapati Anirudh Tunga 30 31 0 21 Sep 2021
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System Michael Karnes Shehan Perera S. Adhikari Alper Yilmaz 20 7 0 08 Sep 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 63 18 0 11 Aug 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Reece Walsh Mohamed H. Abdelpakey M. Shehata Mostafa M. Mohamed 3DH 30 21 0 27 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 42 68 0 16 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 25 113 0 01 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 42 24 0 11 Jun 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 32 92 0 14 May 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 30 84 0 25 Mar 2021
Temporal-Relational CrossTransformers for Few-Shot Action Recognition Toby Perrett A. Masullo T. Burghardt Majid Mirmehdi Dima Damen ViT 31 145 0 15 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 30 68 0 08 Jan 2021
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 29 125 0 21 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 0 09 Mar 2017