GDC- Generalized Distribution Calibration for Few-Shot Learning

11 April 2022

Papers citing "GDC- Generalized Distribution Calibration for Few-Shot Learning"

9 / 9 papers shown

Title
Diversity Covariance-Aware Prompt Learning for Vision-Language Models Songlin Dong Zhengdong Zhou Chenhao Ding Xinyuan Gao Alex C. Kot Yihong Gong VPVLM VLM 51 0 0 03 Mar 2025
Few-Shot Continual Learning for Activity Recognition in Classroom Surveillance Images Yilei Qian Kanglei Geng Kailong Chen Shaoxu Cheng Linfeng XU Hongliang Li Fanman Meng Qi Wu CLL 20 0 0 05 Sep 2024
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion Linlan Huang Xusheng Cao Haori Lu Xialei Liu CLL 40 12 0 19 Jul 2024
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning Dipam Goswami Yuyang Liu Bartlomiej Twardowski Joost van de Weijer CLL 35 52 0 25 Sep 2023
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 29 6 0 13 May 2022
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 219 323 0 16 Jan 2021
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 631 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 371 11,700 0 09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,217 0 01 Sep 2014