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. 1901.09079
  4. Cited By
Learning Classifiers for Domain Adaptation, Zero and Few-Shot
  Recognition Based on Learning Latent Semantic Parts

Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts

25 January 2019
Pengkai Zhu
Hanxiao Wang
Venkatesh Saligrama
    VLM
ArXivPDFHTML

Papers citing "Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts"

4 / 4 papers shown
Title
Attribute Prototype Network for Any-Shot Learning
Attribute Prototype Network for Any-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
29
37
0
04 Apr 2022
Adversarial Learning for Zero-shot Domain Adaptation
Adversarial Learning for Zero-shot Domain Adaptation
Jinghua Wang
Jianmin Jiang
GAN
29
15
0
11 Sep 2020
Dont Even Look Once: Synthesizing Features for Zero-Shot Detection
Dont Even Look Once: Synthesizing Features for Zero-Shot Detection
Pengkai Zhu
Hanxiao Wang
Venkatesh Saligrama
ObjD
30
88
0
18 Nov 2019
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
341
11,684
0
09 Mar 2017
1