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. 2010.03255
  4. Cited By
Variational Feature Disentangling for Fine-Grained Few-Shot
  Classification

Variational Feature Disentangling for Fine-Grained Few-Shot Classification

7 October 2020
Jingyi Xu
Hieu M. Le
Mingzhen Huang
ShahRukh Athar
Dimitris Samaras
    DRL
ArXivPDFHTML

Papers citing "Variational Feature Disentangling for Fine-Grained Few-Shot Classification"

12 / 12 papers shown
Title
Assessing Sample Quality via the Latent Space of Generative Models
Assessing Sample Quality via the Latent Space of Generative Models
Jingyi Xu
Hieu M. Le
Dimitris Samaras
MedIm
30
2
0
21 Jul 2024
Zero-Shot Object Counting with Language-Vision Models
Zero-Shot Object Counting with Language-Vision Models
Jingyi Xu
Hieu M. Le
Dimitris Samaras
VLM
DiffM
32
4
0
22 Sep 2023
Zero-shot Object Counting
Zero-shot Object Counting
Jingyi Xu
Hieu M. Le
Vu Nguyen
Viresh Ranjan
Dimitris Samaras
24
41
0
03 Mar 2023
Disentangled Representation Learning
Disentangled Representation Learning
Xin Eric Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
32
78
0
21 Nov 2022
CDNet: Contrastive Disentangled Network for Fine-Grained Image
  Categorization of Ocular B-Scan Ultrasound
CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound
Ruilong Dan
Yunxiang Li
Yijie Wang
Gangyong Jia
Ruiquan Ge
Juan Ye
Qun Jin
Yaqi Wang
23
8
0
17 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
343
0
13 May 2022
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build
  Back Better with Semantic Task Sampling
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling
Etienne Bennequin
Myriam Tami
Antoine Toubhans
C´eline Hudelot
VLM
11
4
0
10 May 2022
Generating Representative Samples for Few-Shot Classification
Generating Representative Samples for Few-Shot Classification
Jingyi Xu
Hieu M. Le
VLM
13
61
0
05 May 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
Cross-X Learning for Fine-Grained Visual Categorization
Cross-X Learning for Fine-Grained Visual Categorization
W. Luo
Xitong Yang
Xianjie Mo
Yuheng Lu
L. Davis
Jun Li
Jian Yang
Ser-Nam Lim
77
193
0
10 Sep 2019
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
320
11,681
0
09 Mar 2017
1