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LibFewShot: A Comprehensive Library for Few-shot Learning

LibFewShot: A Comprehensive Library for Few-shot Learning

10 September 2021
Wenbin Li
Ziyi
Ziyi Wang
Xuesong Yang
C. Dong
Pinzhuo Tian
Tiexin Qin
Jing Huo
Yinghuan Shi
Lei Wang
Yang Gao
Jiebo Luo
    VLM
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Papers citing "LibFewShot: A Comprehensive Library for Few-shot Learning"

13 / 13 papers shown
Title
Few-shot Novel Category Discovery
Few-shot Novel Category Discovery
Chunming Li
Shidong Wang
Haofeng Zhang
31
0
0
13 May 2025
Reading ability detection using eye-tracking data with LSTM-based
  few-shot learning
Reading ability detection using eye-tracking data with LSTM-based few-shot learning
Nanxi Li
Hongjiang Wang
Zehui Zhan
33
0
0
13 Sep 2024
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot
  Molecular Property Prediction
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
Zeyu Wang
Tianyi Jiang
Yao Lu
Xiaoze Bao
Shanqing Yu
Bin Wei
Qi Xuan
42
1
0
24 May 2024
FewSAR: A Few-shot SAR Image Classification Benchmark
FewSAR: A Few-shot SAR Image Classification Benchmark
Rui Zhang
Ziqi Wang
Y. Li
Jiabao Wang
Zhiteng Wang
20
1
0
16 Jun 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
H. Shen
TTA
21
94
0
23 Feb 2023
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for
  Few-Shot Learning
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Xingping Dong
Shengcai Liao
Bo Du
Ling Shao
35
3
0
14 Jul 2022
Training Vision Transformers with Only 2040 Images
Training Vision Transformers with Only 2040 Images
Yunhao Cao
Hao Yu
Jianxin Wu
ViT
107
42
0
26 Jan 2022
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
210
322
0
16 Jan 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
206
330
0
22 Jul 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
629
0
17 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
177
639
0
19 Sep 2019
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,399
0
04 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
323
11,681
0
09 Mar 2017
1