A Baseline for Few-Shot Image Classification

6 September 2019

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

50 / 126 papers shown

Title
Chain-of-Thought Textual Reasoning for Few-shot Temporal Action Localization Hongwei Ji Wulian Yun Mengshi Qi Huadong Ma LRM 159 0 0 18 Apr 2025
Attribute-Based Robotic Grasping with Data-Efficient Adaptation Yang Yang Houjian Yu Xibai Lou Yuanhao Liu Changhyun Choi 52 8 0 04 Jan 2025
Prospective Learning: Learning for a Dynamic Future Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 65 0 0 31 Oct 2024
The Balanced-Pairwise-Affinities Feature Transform Daniel Shalam Simon Korman 48 0 0 25 Jun 2024
Cycles of Thought: Measuring LLM Confidence through Stable Explanations Evan Becker Stefano Soatto 45 6 0 05 Jun 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Marcus Klasson Arno Solin 45 0 0 11 Apr 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 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 37 0 0 18 Mar 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 50 2 0 22 Feb 2024
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification Kaipeng Zheng Weiran Huang Lichao Sun LM&MA MedIm VLM 29 0 0 12 Dec 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 28 2 0 16 Oct 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 35 0 0 08 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 34 0 0 04 Sep 2023
Rethinking the Localization in Weakly Supervised Object Localization Rui Xu Yong Luo Han Hu Bo Du Jialie Shen Yonggang Wen WSOL 33 3 0 11 Aug 2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels Bang-ju Yang Fenglin Liu Zheng Li Qingyu Yin Chenyu You Bing Yin Yuexian Zou VLM 33 5 0 05 Jul 2023
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation Zhicong Yan Shenghong Li Ruijie Zhao Yuan Tian Yuanyuan Zhao AAML 36 11 0 13 Jun 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 35 2 0 27 May 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 21 6 0 27 Apr 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 19 12 0 24 Apr 2023
Task Adaptive Feature Transformation for One-Shot Learning Imtiaz Masud Ziko Freddy Lecue Ismail Ben Ayed VLM 35 1 0 13 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 28 6 0 13 Apr 2023
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning Tejas Anvekar Dena Bazazian 3DPC 34 8 0 12 Apr 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation Moon Ye-Bin D. Choi Y. Kwon Junsik Kim Tae-Hyun Oh ISeg 30 6 0 20 Feb 2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network Mingjie Wang Yande Li Jun Zhou Graham W. Taylor Minglun Gong 23 11 0 10 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
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 31 10 0 20 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
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 31 3 0 04 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 23 5 0 02 Jan 2023
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 24 26 0 11 Dec 2022
Activating the Discriminability of Novel Classes for Few-shot Segmentation Dianwen Mei Wei Zhuo Jiandong Tian Guangming Lu Wenjie Pei VLM 35 0 0 02 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 24 7 0 29 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 49 2 0 26 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... Xiaozhong Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 46 6 0 02 Nov 2022
A picture of the space of typical learnable tasks Rahul Ramesh J. Mao Itay Griniasty Rubing Yang H. Teoh M. Transtrum J. Sethna Pratik Chaudhari SSL DRL 36 5 0 31 Oct 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference Ségolène Martin Malik Boudiaf Émilie Chouzenoux J. Pesquet Ismail Ben Ayed 24 8 0 26 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 16 1 0 12 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection Shizhen Zhao Xiaojuan Qi 3DPC 48 17 0 11 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings Aymane Abdali Vincent Gripon Lucas Drumetz Bartosz Bogusławski 29 1 0 23 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 35 15 0 18 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying Chen J. Hsieh Ming-Ching Chang 20 0 0 03 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 31 3 0 03 Aug 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda P. Yu Yu-xiong Wang Oluwasanmi Koyejo 30 10 0 02 Aug 2022
Compound Prototype Matching for Few-shot Action Recognition Yifei Huang Lijin Yang Yoichi Sato 22 43 0 12 Jul 2022
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning Jiahui Wang H. Zhu Haoren Guo Abdullah Al Mamun V. Prahlad T. Lee 3DPC 34 4 0 04 Jul 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan Xiaomeng Li Xiaowei Xu Kwang-Ting Cheng 29 6 0 03 Jul 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 37 39 0 08 Jun 2022
Two Decades of Bengali Handwritten Digit Recognition: A Survey A. A. Ashikur Rahman Md. Bakhtiar Hasan Sabbir Ahmed Tasnim Ahmed Md. Hamjajul Ashmafee Mohammad Ridwan Kabir M. H. Kabir 30 24 0 05 Jun 2022