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A Baseline for Few-Shot Image Classification

International Conference on Learning Representations (ICLR), 2019

6 September 2019

Papers citing "A Baseline for Few-Shot Image Classification"

50 / 339 papers shown

Title
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ATTBHFA-Net G. Lee Tanmoy Dam Md Meftahul Ferdaus Daniel Puiu Poenar Vu N. Duong 101 0 0 21 Oct 2025
BuilderBench -- A benchmark for generalist agents Raj Ghugare Catherine Ji Kathryn Wantlin Jin Schofield Benjamin Eysenbach 120 1 0 07 Oct 2025
Scale-Wise VAR is Secretly Discrete Diffusion Amandeep Kumar Nithin Gopalakrishnan Nair Vishal M. Patel DiffM 111 1 0 26 Sep 2025
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy Yunchuan Guan Yu Liu Ke Zhou Zhiqi Shen Jenq-Neng Hwang Serge Belongie Lei Li 108 0 0 16 Sep 2025
Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment Dimitrios Anastasiou Razvan Caramalau Nazir Sirajudeen M. Boal P. J. Eddie Edwards ... F. Mumtaz N. Pavithran Nader K Francis Danail Stoyanov E. Mazomenos 100 1 0 11 Sep 2025
Language-Aware Information Maximization for Transductive Few-Shot CLIP Ghassen Baklouti Maxime Zanella Ismail Ben Ayed VLM 114 0 0 30 Aug 2025
Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation Dustin Carrión-Ojeda Stefan Roth Simone Schaub-Meyer 135 0 0 31 Jul 2025
Beyond Class Tokens: LLM-guided Dominant Property Mining for Few-shot Classification Wei Zhuo Runjie Luo Wufeng Xue Linlin Shen 248 0 0 28 Jul 2025
Reliable Few-shot Learning under Dual NoisesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Ji Zhang Jingkuan Song Lianli Gao Andrii Zadaianchuk Heng Tao Shen NoLa 294 7 0 19 Jun 2025
Conformal Prediction for Zero-Shot ModelsComputer Vision and Pattern Recognition (CVPR), 2025 Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz VLM 253 3 0 30 May 2025
Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling Bryan Wong Jong Woo Kim Huazhu Fu Mun Yi VLM 532 2 0 23 May 2025
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning Shivam Agarwal Zimin Zhang Lifan Yuan Jiawei Han Yuan Yao 408 77 0 21 May 2025
Chain-of-Evidence Multimodal Reasoning for Few-shot Temporal Action Localization Hongwei Ji Wulian Yun Mengshi Qi Huadong Ma Huadong Ma LRM 836 0 0 18 Apr 2025
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains Andrea Gajic Sudip Vhaduri OOD VLM 314 1 0 05 Apr 2025
Transductive One-Shot Learning Meet Subspace DecompositionInternational Conference on Information Photonics (ICIP), 2025 Kyle Stein A. Mahyari Guillermo Francia III Eman El-Sheikh VLM 266 2 0 01 Apr 2025
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity D. López Nuria Rodríguez Barroso M. V. Luzón Francisco Herrera 255 0 0 12 Mar 2025
Contrastive Visual Data Augmentation Yu Zhou B. Li Mohan Tang Xiaomeng Jin Te-Lin Wu Kuan-Hao Huang Mengyue Yang Kai-Wei Chang Nanyun Peng 377 2 0 24 Feb 2025
Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 K. E. Khoury Maxime Zanella Benoît Gérin Tiffanie Godelaine Benoît Macq Saïd Mahmoudi Christophe De Vleeschouwer Ismail Ben Ayed VLM 294 7 0 08 Jan 2025
Attribute-Based Robotic Grasping with Data-Efficient AdaptationIEEE Transactions on robotics (IEEE TRO), 2025 Yang Yang Houjian Yu Xibai Lou Yuanhao Liu Changhyun Choi 341 20 0 04 Jan 2025
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning Bharadwaj Ravichandran Alexander Lynch S. Brockman Brandon RichardWebster Dawei Du A. Hoogs Christopher Funk ObjD VLM 339 0 0 20 Dec 2024
CONCLAD: COntinuous Novel CLAss Detector Amanda Rios I. Ndiour Parual Datta Omesh Tickoo Nilesh A. Ahuja 400 0 0 13 Dec 2024
Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning ApproachInternational Conference on Image Processing, Applications and Systems (ICIPAS), 2024 Elona Shatri Daniel Raymond George Fazekas 183 0 0 25 Nov 2024
Prospective Learning: Learning for a Dynamic FutureNeural Information Processing Systems (NeurIPS), 2024 Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 471 5 0 31 Oct 2024
Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and BenchmarkIEEE Geoscience and Remote Sensing Letters (GRSL), 2024 Clifford Broni-bediako Junshi Xia Jian Song Hongruixuan Chen Mennatullah Siam Xiangwei Zhu 209 8 0 17 Sep 2024
Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot LearningAsia and South Pacific Design Automation Conference (ASP-DAC), 2024 Hao-Wei Chiang Chi-Tse Huang Hsiang-Yun Cheng P. Tseng Ming-Hsiu Lee An-Yeu Wu 106 3 0 12 Sep 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits Mateusz Ochal Massimiliano Patacchiola Malik Boudiaf Sen Wang 193 0 0 04 Aug 2024
Improved Few-Shot Image Classification Through Multiple-Choice Questions Dipika Khullar Emmett Goodman Negin Sokhandan 114 2 0 23 Jul 2024
The Balanced-Pairwise-Affinities Feature Transform Daniel Shalam Simon Korman 238 4 0 25 Jun 2024
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning Cilin Yan Haochen Wang Xiaolong Jiang Feng-Long Xie Xu Tang Guoliang Kang E. Gavves VLM 215 0 0 17 Jun 2024
Cycles of Thought: Measuring LLM Confidence through Stable Explanations Evan Becker Stefano Soatto 276 25 0 05 Jun 2024
Boosting Vision-Language Models with Transduction Maxime Zanella Benoît Gérin Ismail Ben Ayed VLM 204 19 0 03 Jun 2024
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization Jordi Armengol-Estapé Vincent Michalski Ramnath Kumar P. St-Charles Doina Precup Samira Ebrahimi Kahou 263 0 0 29 May 2024
Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics Ben Williams B. V. Merrienboer Vincent Dumoulin Jenny Hamer Eleni Triantafillou ... Clemency E. White Catherine A. D. Hobbs Tries B. Razak Kate E. Jones Tom Denton 177 16 0 25 Apr 2024
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach Mir Rayat Imtiaz Hossain Mennatullah Siam Leonid Sigal James J. Little VLM 229 18 0 17 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Rui Li Martin Trapp Talal Alrawajfeh Arno Solin 344 1 0 11 Apr 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 193 1 0 23 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Philip Matthias Winter M. Wimmer David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Gaia Romana De Paolis Johannes Novotny Sophia Ulonska Katja Bühler 319 1 0 18 Mar 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning Rashindrie Perera Saman K. Halgamuge 325 11 0 07 Mar 2024
Boosting Meta-Training with Base Class Information for Few-Shot Learning Weihao Jiang Guodong Liu Di He Kun He CLL 239 1 0 06 Mar 2024
Few-shot Learner Parameterization by Diffusion Time-steps Zhongqi Yue Pan Zhou Richang Hong Hanwang Zhang Qianru Sun 247 14 0 05 Mar 2024
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation Yunwei Bai Ying Kiat Tan Tsuhan Chen 164 0 0 28 Feb 2024
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine Xiaosong Wang Xiaofan Zhang Guotai Wang Junjun He Zhongyu Li ... Jie Zhao Kang Li Xin Sun Lifeng Zhu Shaoting Zhang LM&MA VLM MedIm 258 10 0 28 Feb 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 213 7 0 22 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 239 7 0 04 Feb 2024
Episodic-free Task Selection for Few-shot Learning Tao Zhang 130 0 0 31 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space A. Mottaghi Mohammad Abdullah Jamal Serena Yeung Omid Mohareri 146 1 0 23 Jan 2024
Boosting Few-Shot Segmentation via Instance-Aware Data Augmentation and Local Consensus Guided Cross Attention Li Guo Haoming Liu Yuxuan Xia Chengyu Zhang Xiaochen Lu 161 0 0 18 Jan 2024
Does Few-shot Learning Suffer from Backdoor Attacks?AAAI Conference on Artificial Intelligence (AAAI), 2023 Xinwei Liu Yang Liu Jindong Gu Yuan Xun Yaning Tan Simeng Qin 206 22 0 31 Dec 2023
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement Jing Wang Jinagyun Li Chen Chen Yisi Zhang Haoran Shen Tianxiang Zhang VLM 283 20 0 25 Dec 2023
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning Yongjin Yang Taehyeon Kim SeYoung Yun 174 7 0 18 Dec 2023