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. 2301.11310
  4. Cited By
Learning Good Features to Transfer Across Tasks and Domains

Learning Good Features to Transfer Across Tasks and Domains

26 January 2023
Pierluigi Zama Ramirez
Adriano Cardace
Luca de Luigi
A. Tonioni
Samuele Salti
Luigi Di Stefano
    OOD
ArXivPDFHTML

Papers citing "Learning Good Features to Transfer Across Tasks and Domains"

5 / 5 papers shown
Title
Exploiting the Complementarity of 2D and 3D Networks to Address
  Domain-Shift in 3D Semantic Segmentation
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation
Adriano Cardace
Pierluigi Zama Ramirez
Samuele Salti
Luigi Di Stefano
3DPC
10
12
0
06 Apr 2023
Towards Efficient Task-Driven Model Reprogramming with Foundation Models
Towards Efficient Task-Driven Model Reprogramming with Foundation Models
Shoukai Xu
Jiangchao Yao
Ran Luo
Shuhai Zhang
Zihao Lian
Mingkui Tan
Bo Han
Yaowei Wang
24
6
0
05 Apr 2023
Fully Convolutional Adaptation Networks for Semantic Segmentation
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang
Zhaofan Qiu
Ting Yao
Dong Liu
Tao Mei
SSeg
OOD
160
349
0
23 Apr 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,447
0
21 Nov 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,327
0
28 May 2015
1