A Universal Representation Transformer Layer for Few-Shot Image Classification

21 June 2020

Papers citing "A Universal Representation Transformer Layer for Few-Shot Image Classification"

50 / 68 papers shown

Title
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning Ruixiao Shi Fu Feng Yucheng Xie Jing Wang Xin Geng 9 0 0 13 May 2025
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP M. Cui Divyam Gupta Mainak Singha Sai Bhargav Rongali Ankit Jha Muhammad Haris Khan Biplab Banerjee VLM 53 1 0 20 Mar 2025
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning Hongduan Tian Feng Liu Zhanke Zhou Tongliang Liu Chengqi Zhang Bo Han VLM 16 1 0 16 Oct 2024
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence Hongduan Tian Feng Liu Tongliang Liu Bo Du Yiu-ming Cheung Bo Han 19 1 0 29 May 2024
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
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity Yu Qiao Huy Q. Le Mengchun Zhang Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 25 7 0 14 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Marcus Klasson Arno Solin 39 0 0 11 Apr 2024
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning Selim Furkan Tekin Fatih Ilhan Tiansheng Huang Sihao Hu Ka-Ho Chow Margaret Loper Ling Liu 26 1 0 05 Apr 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning Rashindrie Perera Saman K. Halgamuge 33 2 0 07 Mar 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 14 0 0 29 Jan 2024
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks Naeem Paeedeh Mahardhika Pratama M. A. Ma'sum Wolfgang Mayer Zehong Cao Ryszard Kowlczyk 22 9 0 25 Jan 2024
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks M. A. Ma'sum MD Rasel Sarkar Mahardhika Pratama Savitha Ramasamy S. Anavatti Lin Liu Habibullah Habibullah Ryszard Kowalczyk AI4TS 19 0 0 25 Jan 2024
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning Yongjin Yang Taehyeon Kim SeYoung Yun 19 3 0 18 Dec 2023
VFedMH: Vertical Federated Learning for Training Multiple Heterogeneous Models Shuo Wang Keke Gai Jing Yu Liehuang Zhu Kim-Kwang Raymond Choo Bin Xiao FedML 23 0 0 20 Oct 2023
Multi-modal Extreme Classification Anshul Mittal Kunal Dahiya Shreya Malani Janani Ramaswamy Seba Kuruvilla Jitendra Ajmera Keng-hao Chang Sumeet Agarwal Purushottam Kar Manik Varma 14 9 0 10 Sep 2023
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation Ruijiang Dong Feng Liu Haoang Chi Tongliang Liu Mingming Gong Gang Niu Masashi Sugiyama Bo Han 10 5 0 12 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 69 0 10 Jul 2023
Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis L. Dudziak Da Li Timothy M. Hospedales 15 3 0 15 Jun 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 10 4 0 13 May 2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning Zhongzhi Yu Shang Wu Y. Fu Shunyao Zhang Yingyan Lin 21 6 0 25 Apr 2023
Video Pre-trained Transformer: A Multimodal Mixture of Pre-trained Experts Kastan Day D. Christl Rohan Salvi Pranav Sriram ViT 6 1 0 24 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 29 19 0 11 Mar 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 17 32 0 16 Feb 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 14 3 0 22 Dec 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 19 12 0 13 Nov 2022
LAVA: Label-efficient Visual Learning and Adaptation Islam Nassar Munawar Hayat Ehsan Abbasnejad Hamid Rezatofighi Mehrtash Harandi Gholamreza Haffari VLM 8 1 0 19 Oct 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan A. Schwing Yu-xiong Wang OffRL 26 2 0 18 Oct 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 24 165 0 21 Sep 2022
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results Dustin Carrión-Ojeda Hong Chen Adrian El Baz Sergio Escalera Chaoyu Guan Isabelle M Guyon I. Ullah Xin Eric Wang Wenwu Zhu VLM 10 6 0 31 Aug 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Xiao Wang Bo Jiang Bin Luo 11 42 0 26 Aug 2022
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding Hao-Kai Wen Yunze Liu Jingwei Huang Bokun Duan Li Yi ViT 3DPC 15 26 0 30 Jul 2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation M. Zhang Siteng Huang Wenbin Li Donglin Wang VLM 13 32 0 14 Jul 2022
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes Yumeng Li Ni Gao Hanna Ziesche Gerhard Neumann 8 5 0 14 Jun 2022
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences Hehe Fan Xin Yu Yuhang Ding Yi Yang Mohan S. Kankanhalli 3DPC 116 108 0 27 May 2022
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning Yuzhong Chen Zhe Xiao Lin Zhao Lu Zhang Haixing Dai ... Tuo Zhang Changying Li Dajiang Zhu Tianming Liu Xi Jiang 36 18 0 20 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 36 341 0 13 May 2022
Feature Extractor Stacking for Cross-domain Few-shot Learning Hongyu Wang Eibe Frank Bernhard Pfahringer Michael Mayo G. Holmes 8 3 0 12 May 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 17 181 0 15 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 14 27 0 06 Apr 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 12 32 0 25 Mar 2022
Transformers Meet Visual Learning Understanding: A Comprehensive Review Yuting Yang Licheng Jiao Xuantong Liu F. Liu Shuyuan Yang Zhixi Feng Xu Tang ViT MedIm 17 28 0 24 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 11 22 0 15 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer Bowen Dong Pan Zhou Shuicheng Yan W. Zuo ViT 9 28 0 14 Mar 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan Willem van de Meent Leonid Sigal Frank D. Wood BDL VLM 26 9 0 13 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 20 68 0 11 Jan 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning Utku Evci Vincent Dumoulin Hugo Larochelle Michael C. Mozer 17 83 0 10 Jan 2022
Which images to label for few-shot medical landmark detection? Quan Quan Qingsong Yao Jun Li S. Kevin Zhou 19 24 0 07 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 20 30 0 01 Dec 2021
Ranking Distance Calibration for Cross-Domain Few-Shot Learning Pan Li S. Gong Chengjie Wang Yanwei Fu 9 32 0 01 Dec 2021
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions Bogdan Mazoure Ilya Kostrikov Ofir Nachum Jonathan Tompson OffRL 20 21 0 29 Nov 2021