Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?

Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?

30 May 2023

Yuecong Xu

Lihua Xie

Papers citing "Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?"

8 / 8 papers shown

Title
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response Hongruixuan Chen Jian Song Olivier Dietrich Clifford Broni-Bediako Weihao Xuan ... Yimin Wei J. Xia Cuiling Lan Konrad Schindler Naoto Yokoya 62 3 0 10 Jan 2025
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs Kaichao You Yong Liu Ziyang Zhang Jianmin Wang Michael I. Jordan Mingsheng Long 90 30 0 20 Oct 2021
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network Yuecong Xu Jianfei Yang Haozhi Cao Qi Li K. Mao Zhenghua Chen AI4TS 23 32 0 11 Jul 2021
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation Jichang Li Guanbin Li Yemin Shi Yizhou Yu 56 116 0 19 Apr 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang R. He Jiashi Feng 128 249 0 14 Dec 2020
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation Jinyu Yang Weizhi An Sheng Wang Xinliang Zhu Chao-chao Yan Junzhou Huang 45 104 0 10 Mar 2020
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 163 0 21 Aug 2019
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 8,353 0 28 May 2015