Improved Few-Shot Visual Classification

7 December 2019

Papers citing "Improved Few-Shot Visual Classification"

34 / 34 papers shown

Title
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 35 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 31 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 26 11 0 13 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Marcus Klasson Arno Solin 41 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 17 0 0 29 Jan 2024
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Lingyu Si VLM ViT 52 1 0 05 Oct 2023
Learning to Drive Anywhere Ruizhao Zhu Peng Huang Eshed Ohn-Bar Venkatesh Saligrama 25 6 0 21 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 33 0 0 13 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 22 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 15 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 15 100 0 16 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers C. Xu Siqian Yang Yabiao Wang Zhanxiong Wang Yanwei Fu Xiangyang Xue 22 16 0 06 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 33 3 0 22 Dec 2022
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 10 13 0 30 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners E. T. Oldewage J. Bronskill Richard E. Turner 11 3 0 23 Nov 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 22 47 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 22 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 E. Turner 3DH FedML 38 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 36 342 0 13 May 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
Spatio-temporal Relation Modeling for Few-shot Action Recognition Anirudh Thatipelli Sanath Narayan Salman Khan Rao Muhammad Anwer F. Khan Bernard Ghanem ViT 17 87 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 30 10 0 14 Oct 2021
A Mutual learning framework for Few-shot Sound Event Detection Dongchao Yang Helin Wang Yuexian Zou Zhongjie Ye Wenwu Wang 13 25 0 09 Oct 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Reece Walsh Mohamed H. Abdelpakey M. Shehata Mostafa M. Mohamed 3DH 20 21 0 27 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 34 24 0 11 Jun 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 24 84 0 25 Mar 2021
Temporal-Relational CrossTransformers for Few-Shot Action Recognition Toby Perrett A. Masullo T. Burghardt Majid Mirmehdi Dima Damen ViT 9 145 0 15 Jan 2021
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 9 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 22 125 0 21 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 263 11,677 0 09 Mar 2017