Select, Label, and Mix: Learning Discriminative Invariant Feature
Representations for Partial Domain Adaptation

Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation

6 December 2020

Abir Das

Papers citing "Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation"

7 / 7 papers shown

Title
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images Kuiliang Gao Anzhu Yu Xiong You Wenyue Guo Ke Li Ningbo Huang 36 8 0 17 May 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
Overcoming the Domain Gap in Neural Action Representations Semih Günel Florian Aymanns S. Honari Pavan Ramdya Pascal Fua 29 3 0 02 Dec 2021
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation Lingdong Kong N. Quader Venice Erin Liong 21 48 0 30 Nov 2021
Deep Visual Domain Adaptation G. Csurka OOD 141 185 0 28 Dec 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation Jian Liang Yunbo Wang Dapeng Hu Ran He Jiashi Feng 169 105 0 05 Mar 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 233 789 0 26 Aug 2019