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Divide and Adapt: Active Domain Adaptation via Customized Learning

Divide and Adapt: Active Domain Adaptation via Customized Learning

21 July 2023
Duojun Huang
Jichang Li
Weikai Chen
Jun Steed Huang
Z. Chai
Guanbin Li
ArXivPDFHTML

Papers citing "Divide and Adapt: Active Domain Adaptation via Customized Learning"

12 / 12 papers shown
Title
Is user feedback always informative? Retrieval Latent Defending for
  Semi-Supervised Domain Adaptation without Source Data
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song
Tae Soo Kim
Junha Kim
Gunhee Nam
Thijs Kooi
Jaegul Choo
31
1
0
22 Jul 2024
Weakly Supervised Test-Time Domain Adaptation for Object Detection
Weakly Supervised Test-Time Domain Adaptation for Object Detection
Anh-Dzung Doan
Bach Long Nguyen
Terry Lim
M. Jayawardhana
Surabhi Gupta
Christophe Guettier
Ian Reid
Markus Wagner
Tat-Jun Chin
TTA
19
0
0
08 Jul 2024
Learning Background Prompts to Discover Implicit Knowledge for Open
  Vocabulary Object Detection
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection
Jiaming Li
Jiacheng Zhang
Jichang Li
Ge Li
Si Liu
Liang Lin
Guanbin Li
ObjD
VLM
40
12
0
01 Jun 2024
AlignSAM: Aligning Segment Anything Model to Open Context via
  Reinforcement Learning
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
Duojun Huang
Xinyu Xiong
Jie Ma
Jichang Li
Zequn Jie
Lin Ma
Guanbin Li
VLM
44
11
0
01 Jun 2024
Annotation-Efficient Polyp Segmentation via Active Learning
Annotation-Efficient Polyp Segmentation via Active Learning
Duojun Huang
Xinyu Xiong
De-Jun Fan
Feng Gao
Xiao-Jian Wu
Guanbin Li
19
3
0
21 Mar 2024
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation
Jichang Li
Guanbin Li
Yizhou Yu
41
12
0
21 Jan 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy
  Labels
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
Jichang Li
Guanbin Li
Hui Cheng
Zicheng Liao
Yizhou Yu
FedML
14
13
0
19 Dec 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
31
22
0
22 Oct 2023
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion
Duo Peng
Qiuhong Ke
Yinjie Lei
J. Liu
DiffM
10
11
0
26 Aug 2023
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Jichang Li
Guanbin Li
Yemin Shi
Yizhou Yu
56
116
0
19 Apr 2021
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
90
119
0
16 Oct 2020
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
149
9,300
0
28 May 2015
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