Generating Representative Samples for Few-Shot Classification

5 May 2022

Papers citing "Generating Representative Samples for Few-Shot Classification"

35 / 35 papers shown

Title
CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent Diffusion Zhifu Zhao Hanyang Hua Jiajian Li Shaoxin Wu Fu Li Yangtao Zhou Yang Li DiffM 74 0 0 30 Apr 2025
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision Aditya Hemant Shahane Prathosh A.P Sandeep Kumar CLL 47 0 0 07 Apr 2025
Few-shot Personalized Scanpath Prediction Ruoyu Xue Jingyi Xu Sounak Mondal Hieu Le G. Zelinsky Minh Hoai D. Samaras 36 0 0 07 Apr 2025
A Feature Generator for Few-Shot Learning Heethanjan Kanagalingam Thenukan Pathmanathan Navaneethan Ketheeswaran Mokeeshan Vathanakumar Mohamed Afham Ranga Rodrigo 31 0 0 21 Sep 2024
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 52 1 0 18 Sep 2024
Shadow Removal Refinement via Material-Consistent Shadow Edges Shilin Hu Hieu Le ShahRukh Athar Sagnik Das Dimitris Samaras 31 0 0 10 Sep 2024
Making Large Vision Language Models to be Good Few-shot Learners Fan Liu Wenwen Cai Jian Huo Chuanyi Zhang Delong Chen Jun Zhou 62 0 0 21 Aug 2024
Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu Hieu M. Le Dimitris Samaras MedIm 54 2 0 21 Jul 2024
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation Prantik Howlader Hieu M. Le Dimitris Samaras 67 1 0 17 Jul 2024
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density Shuangqi Li Chen Liu Tong Zhang Hieu Le Sabine Süsstrunk Mathieu Salzmann DiffM 66 1 0 11 Jul 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 58 1 0 05 Jun 2024
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification S. Ghose Yang Wang 3DPC 61 0 0 01 Apr 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications Minyang Hu Hong Chang Zong Guo Bingpeng Ma Shiguang Shan Xilin Chen VLM 49 1 0 06 Mar 2024
Simple Semantic-Aided Few-Shot Learning Hai Zhang Junzhe Xu Shanlin Jiang Zhenan He VLM 33 8 0 30 Nov 2023
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning Yassir Bendou Vincent Gripon Bastien Pasdeloup G. Lioi Lukas Mauch Fabien Cardinaux G. B. Hacene 39 0 0 24 Nov 2023
Disentangled Representation Learning with Transmitted Information Bottleneck Zhuohang Dang Minnan Luo Chengyou Jia Guangwen Dai Jihong Wang Xiao Chang Jingdong Wang Qinghua Zheng 50 4 0 03 Nov 2023
Zero-Shot Object Counting with Language-Vision Models Jingyi Xu Hieu M. Le Dimitris Samaras VLM DiffM 43 5 0 22 Sep 2023
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng Li FaML AI4TS 62 2 0 23 Aug 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 55 1 0 19 Jun 2023
Norm-guided latent space exploration for text-to-image generation Dvir Samuel Rami Ben-Ari N. Darshan Haggai Maron Gal Chechik DiffM 37 25 0 14 Jun 2023
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation Yuanen Zhou Xin Chen Yanrong Guo Shijie Hao Richang Hong Qi Tian CLL 56 4 0 18 May 2023
Generating images of rare concepts using pre-trained diffusion models Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 138 41 0 27 Apr 2023
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection Jingyi Xu Hieu M. Le Dimitris Samaras ObjD 50 26 0 11 Apr 2023
Zero-shot Object Counting Jingyi Xu Hieu M. Le Vu Nguyen Viresh Ranjan Dimitris Samaras 54 43 0 03 Mar 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation Yue Han Jiangning Zhang Zhucun Xue Chao Xu Xintian Shen Yabiao Wang Chengjie Wang Yong Liu Xiangtai Li 62 17 0 03 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 48 3 0 22 Dec 2022
A Statistical Model for Predicting Generalization in Few-Shot Classification Yassir Bendou Vincent Gripon Bastien Pasdeloup Lukas Mauch Stefan Uhlich Fabien Cardinaux G. B. Hacene Javier Alonso García 44 2 0 13 Dec 2022
Disentangled Generation with Information Bottleneck for Few-Shot Learning Zhuohang Dang Jihong Wang Minnan Luo Chengyou Jia Caixia Yan Qinghua Zheng 29 1 0 29 Nov 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 67 350 0 13 May 2022
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 226 326 0 16 Jan 2021
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 175 342 0 09 Mar 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 218 636 0 17 Oct 2019
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 200 351 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 647 11,762 0 09 Mar 2017
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 338 31,348 0 16 Jan 2013