ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.07960
  4. Cited By
Dataset Bias in Few-shot Image Recognition

Dataset Bias in Few-shot Image Recognition

18 August 2020
Shuqiang Jiang
Yaohui Zhu
Chenlong Liu
Xinhang Song
Xiangyang Li
Weiqing Min
ArXivPDFHTML

Papers citing "Dataset Bias in Few-shot Image Recognition"

12 / 12 papers shown
Title
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment
Jiahao Xia
Min Xu
Wenjian Huang
Jianguo Zhang
Haimin Zhang
Chunxia Xiao
CVBM
FedML
66
0
0
28 Mar 2025
Revealing Bias Formation in Deep Neural Networks Through the Geometric Mechanisms of Human Visual Decoupling
Revealing Bias Formation in Deep Neural Networks Through the Geometric Mechanisms of Human Visual Decoupling
Yanbiao Ma
Bowei Liu
Boyuan Gao
Wei-Ming Dai
Jiayi Chen
Shuo Li
AI4CE
66
0
0
17 Feb 2025
DIAGen: Diverse Image Augmentation with Generative Models
DIAGen: Diverse Image Augmentation with Generative Models
Tobias Lingenberg
Markus Reuter
Gopika Sudhakaran
Dominik Gojny
Stefan Roth
Simone Schaub-Meyer
DiffM
28
3
0
26 Aug 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and
  Applications
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
Minyang Hu
Hong Chang
Zong Guo
Bingpeng Ma
Shiguang Shan
Xilin Chen
VLM
29
1
0
06 Mar 2024
Weakly Supervised Open-Vocabulary Object Detection
Weakly Supervised Open-Vocabulary Object Detection
Jianghang Lin
Yunhang Shen
Bingquan Wang
Shaohui Lin
Ke Li
Liujuan Cao
WSOD
33
7
0
19 Dec 2023
EqGAN: Feature Equalization Fusion for Few-shot Image Generation
EqGAN: Feature Equalization Fusion for Few-shot Image Generation
Yingbo Zhou
Zhihao Yue
Yutong Ye
Pengyu Zhang
Xian Wei
Mingsong Chen
32
1
0
27 Jul 2023
Power Normalizations in Fine-grained Image, Few-shot Image and Graph
  Classification
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
Piotr Koniusz
Hongguang Zhang
45
56
0
27 Dec 2020
Selecting Relevant Features from a Multi-domain Representation for
  Few-shot Classification
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
178
24
0
20 Mar 2020
XtarNet: Learning to Extract Task-Adaptive Representation for
  Incremental Few-Shot Learning
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Sung Whan Yoon
Do-Yeon Kim
Jun Seo
Jaekyun Moon
CLL
178
46
0
19 Mar 2020
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
ObjD
95
544
0
16 Mar 2020
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
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
186
351
0
12 Jun 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
338
11,684
0
09 Mar 2017
1