Zhou, Q.Y.[Qian-Yu],
Feng, Z.Y.[Zheng-Yang],
Gu, Q.Q.[Qi-Qi],
Cheng, G.L.[Guang-Liang],
Lu, X.Q.[Xue-Quan],
Shi, J.P.[Jian-Ping],
Ma, L.Z.[Li-Zhuang],
Uncertainty-aware consistency regularization for cross-domain
semantic segmentation,
CVIU(221), 2022, pp. 103448.
Elsevier DOI
2206
Domain adaptation, Semantic segmentation, Transfer learning,
Consistency regularization
BibRef
Zhang, X.H.[Xiao-Hong],
Chen, Y.[Yi],
Shen, Z.[Ziyi],
Shen, Y.M.[Yu-Ming],
Zhang, H.F.[Hao-Feng],
Zhang, Y.D.[Yu-Dong],
Confidence-and-Refinement Adaptation Model for Cross-Domain Semantic
Segmentation,
ITS(23), No. 7, July 2022, pp. 9529-9542.
IEEE DOI
2207
Semantics, Adaptation models, Image segmentation, Entropy, Training,
Annotations, Data models, Semantic segmentation,
confidence-aware entropy alignment
BibRef
Zhu, S.[Siyu],
Tian, Y.J.[Ying-Jie],
Shape robustness in style enhanced cross domain semantic segmentation,
PR(135), 2023, pp. 109143.
Elsevier DOI
2212
Domain adaptation, Semantic segmentation, Transfer learning
BibRef
Zhou, H.Y.[Hua-Yi],
Jiang, F.[Fei],
Lu, H.T.[Hong-Tao],
SSDA-YOLO: Semi-supervised domain adaptive YOLO for cross-domain
object detection,
CVIU(229), 2023, pp. 103649.
Elsevier DOI
2303
Domain adaptation, Knowledge distillation, Semi-supervised, YOLO
BibRef
Liu, D.N.[Dong-Nan],
Zhang, C.Y.[Chao-Yi],
Song, Y.[Yang],
Huang, H.[Heng],
Wang, C.Y.[Chen-Yu],
Barnett, M.[Michael],
Cai, W.D.[Wei-Dong],
Decompose to Adapt: Cross-Domain Object Detection Via Feature
Disentanglement,
MultMed(25), 2023, pp. 1333-1344.
IEEE DOI
2305
Feature extraction, Object detection, Task analysis, Training,
Visualization, Minimization, Data mining, Automatic drive, object detection
BibRef
Jiao, Y.F.[Yi-Fan],
Yao, H.T.[Han-Tao],
Xu, C.S.[Chang-Sheng],
Dual Instance-Consistent Network for Cross-Domain Object Detection,
PAMI(45), No. 6, June 2023, pp. 7338-7352.
IEEE DOI
2305
Feature extraction, Object detection, Detectors, Visualization,
Proposals, Head, Task analysis, Cross-domain object detection,
dual instance-consistent network
BibRef
Gao, K.L.[Kui-Liang],
Yu, A.[Anzhu],
You, X.[Xiong],
Qiu, C.P.[Chun-Ping],
Liu, B.[Bing],
Zhang, F.B.[Fu-Bing],
Cross-Domain Multi-Prototypes with Contradictory Structure Learning
for Semi-Supervised Domain Adaptation Segmentation of Remote Sensing
Images,
RS(15), No. 13, 2023, pp. 3398.
DOI Link
2307
BibRef
Wang, P.[Ping],
Peng, J.[Jizong],
Pedersoli, M.[Marco],
Zhou, Y.F.[Yuan-Feng],
Zhang, C.M.[Cai-Ming],
Desrosiers, C.[Christian],
Shape-Aware Joint Distribution Alignment for Cross-Domain Image
Segmentation,
MedImg(42), No. 8, August 2023, pp. 2338-2347.
IEEE DOI
2308
Image segmentation, Entropy, Software,
Adversarial machine learning, Training, Task analysis,
domain adaptation
BibRef
Liu, J.H.[Jin-Hua],
Desrosiers, C.[Christian],
Yu, D.[Dexin],
Zhou, Y.F.[Yuan-Feng],
Semi-Supervised Medical Image Segmentation Using Cross-Style
Consistency With Shape-Aware and Local Context Constraints,
MedImg(43), No. 4, April 2024, pp. 1449-1461.
IEEE DOI Code:
WWW Link.
2404
Image segmentation, Shape, Task analysis, Couplings,
Loss measurement, Anatomical structure, Uncertainty, Shape aware,
local context loss
BibRef
Tian, H.T.[Hai-Tao],
Qu, S.[Shiru],
Payeur, P.[Pierre],
Learning a target-dependent classifier for cross-domain semantic
segmentation: Fine-tuning versus meta-learning,
PR(147), 2024, pp. 110091.
Elsevier DOI
2312
Domain adaptation, Semantic segmentation,
Unsupervised learning, Meta-learning
BibRef
Liu, S.L.[Shao-Lei],
Yin, S.Q.[Si-Qi],
Qu, L.[Linhao],
Wang, M.[Manning],
Song, Z.J.[Zhi-Jian],
A Structure-Aware Framework of Unsupervised Cross-Modality Domain
Adaptation via Frequency and Spatial Knowledge Distillation,
MedImg(42), No. 12, December 2023, pp. 3919-3931.
IEEE DOI Code:
WWW Link.
2312
BibRef
Xu, Y.H.[Yong-Hao],
He, F.X.[Feng-Xiang],
Du, B.[Bo],
Tao, D.C.[Da-Cheng],
Zhang, L.P.[Liang-Pei],
Self-Ensembling GAN for Cross-Domain Semantic Segmentation,
MultMed(25), 2023, pp. 7837-7850.
IEEE DOI
2312
BibRef
Li, J.[Jing],
Zhou, K.[Kang],
Qian, S.H.[Shen-Han],
Li, W.[Wen],
Duan, L.X.[Li-Xin],
Gao, S.H.[Sheng-Hua],
Feature Re-Representation and Reliable Pseudo Label Retraining for
Cross-Domain Semantic Segmentation,
PAMI(46), No. 3, March 2024, pp. 1682-1694.
IEEE DOI
2402
Semantics, Image segmentation, Reliability, Entropy,
Feature extraction, Training, Pattern analysis,
reliable pseudo label retraining
BibRef
Luo, X.[Xin],
Chen, W.[Wei],
Liang, Z.F.[Zheng-Fa],
Yang, L.Q.[Long-Qi],
Wang, S.W.[Si-Wei],
Li, C.[Chen],
Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain
Adaptive Semantic Segmentation,
IJCV(132), No. 1, January 2024, pp. 20-39.
Springer DOI
2402
BibRef
Ren, Q.H.[Qing-Hua],
Mao, Q.[Qirong],
Lu, S.J.[Shi-Jian],
Prototypical Bidirectional Adaptation and Learning for Cross-Domain
Semantic Segmentation,
MultMed(26), 2024, pp. 501-513.
IEEE DOI
2402
Prototypes, Semantic segmentation, Feature extraction,
Adaptation models, Training, Task analysis, Tail,
prototypical learning
BibRef
Guan, S.X.[Sheng-Xian],
Dong, S.[Shuai],
Gao, Y.[Yuefang],
Zou, K.[Kun],
Category-related attention domain adaptation for one-stage
cross-domain object detection,
IET-IPR(18), No. 2, 2024, pp. 362-378.
DOI Link
2402
object detection
BibRef
Liu, Y.[Yabo],
Wang, J.H.[Jing-Hua],
Wang, W.J.[Wei-Jia],
Hu, Y.[Yu],
Wang, Y.W.[Yao-Wei],
Xu, Y.[Yong],
CRADA: Cross Domain Object Detection With Cyclic Reconstruction and
Decoupling Adaptation,
MultMed(26), 2024, pp. 6250-6261.
IEEE DOI
2404
Feature extraction, Image reconstruction, Correlation,
Object detection, Transforms, Task analysis, Training,
feature decoupling
BibRef
He, P.[Pei],
Jiao, L.C.[Li-Cheng],
Liu, F.[Fang],
Liu, X.[Xu],
Shang, R.H.[Rong-Hua],
Wang, S.[Shuang],
Cross-Domain Scene Unsupervised Learning Segmentation With Dynamic
Subdomains,
MultMed(26), 2024, pp. 6770-6784.
IEEE DOI
2404
Adaptation models, Uncertainty, Training, Estimation,
Semantic segmentation, Data models, Bayes methods, Structural Priors
BibRef
Jiao, Y.F.[Yi-Fan],
Yao, H.T.[Han-Tao],
Bao, B.K.[Bing-Kun],
Xu, C.S.[Chang-Sheng],
Source-Guided Target Feature Reconstruction for Cross-Domain
Classification and Detection,
IP(33), 2024, pp. 2808-2822.
IEEE DOI
2404
Image reconstruction, Feature extraction, Visualization,
Task analysis, Image classification, Object detection,
cross-domain object detection
BibRef
Wang, X.W.[Xiao-Wei],
Jiang, P.W.[Pei-Wen],
Li, Y.[Yang],
Hu, M.J.[Man-Jiang],
Gao, M.[Ming],
Cao, D.[Dongpu],
Ding, R.J.[Rong-Jun],
Progressive Critical Region Transfer for Cross-Domain Visual Object
Detection,
ITS(25), No. 8, August 2024, pp. 9427-9441.
IEEE DOI
2408
Detectors, Semantics, Visualization, Training, Object detection,
Feature extraction, Prototypes, Autonomous driving,
progressive critical region transfer
BibRef
Liao, M.[Muxin],
Tian, S.[Shishun],
Zhang, Y.H.[Yu-Hang],
Hua, G.G.[Guo-Guang],
Zou, W.B.[Wen-Bin],
Li, X.[Xia],
Preserving Label-Related Domain-Specific Information for Cross-Domain
Semantic Segmentation,
ITS(25), No. 10, October 2024, pp. 14917-14931.
IEEE DOI Code:
WWW Link.
2410
Task analysis, Metalearning, Semantic segmentation,
Frequency-domain analysis, Semantics, Training, Cutoff frequency,
class-aware domain-specific memory bank
BibRef
Zhang, L.[Lin],
Zhang, B.[Bo],
Shi, B.[Botian],
Fan, J.Y.[Jia-Yuan],
Chen, T.[Tao],
Few-Shot Cross-Domain Object Detection with Instance-Level
Prototype-Based Meta-Learning,
CirSysVideo(34), No. 10, October 2024, pp. 9078-9089.
IEEE DOI
2411
Feature extraction, Prototypes, Task analysis, Object detection,
Detectors, Adaptation models, prototype-based
BibRef
Zhang, Y.H.[Yu-Hang],
Tian, S.[Shishun],
Liao, M.[Muxin],
Hua, G.G.[Guo-Guang],
Zou, W.B.[Wen-Bin],
Xu, C.[Chen],
A global reweighting approach for cross-domain semantic segmentation,
SP:IC(130), 2025, pp. 117197.
Elsevier DOI
2412
Unsupervised domain adaptation, Semantic segmentation,
Reweighting, Domain divergence
BibRef
Menke, M.[Maximilian],
Wenzel, T.[Thomas],
Schwung, A.[Andreas],
AWADA: Foreground-focused adversarial learning for cross-domain
object detection,
CVIU(249), 2024, pp. 104153.
Elsevier DOI
2412
Domain adaptation, Generative adversarial networks,
Style-transfer, Object detection, Foreground attention
BibRef
Lim, J.[Jeongkee],
Kim, Y.[Yusung],
Cross-domain Semantic Segmentation on Inconsistent Taxonomy Using Vlms,
ECCV24(LXV: 18-35).
Springer DOI
2412
BibRef
He, L.Q.[Li-Qiang],
Todorovic, S.[Sinisa],
Attention Decomposition for Cross-domain Semantic Segmentation,
ECCV24(XIV: 414-431).
Springer DOI
2412
BibRef
Nair, R.N.[Rudhishna Narayanan],
Hänsch, R.[Ronny],
Let me show you how it's done: Cross-modal knowledge distillation as
pretext task for semantic segmentation,
EarthVision24(595-603)
IEEE DOI
2410
Training, Semantic segmentation, Optical imaging,
Feature extraction, Radar polarimetry, Data models, Cross-modal Learning
BibRef
Yin, Y.F.[Yi-Fang],
Hu, W.M.[Wen-Miao],
Liu, Z.G.[Zhen-Guang],
Wang, G.F.[Guan-Feng],
Xiang, S.[Shili],
Zimmermann, R.[Roger],
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via
Cross-Modal Consistency Training,
ICCV23(21729-21739)
IEEE DOI
2401
BibRef
Zhao, D.[Dong],
Wang, S.[Shuang],
Zang, Q.[Qi],
Quan, D.[Dou],
Ye, X.[Xiutiao],
Yang, R.[Rui],
Jiao, L.C.[Li-Cheng],
Learning Pseudo-Relations for Cross-domain Semantic Segmentation,
ICCV23(19134-19146)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wang, Y.X.[Yu-Xi],
Liang, J.[Jian],
Xiao, J.[Jun],
Mei, S.Q.[Shu-Qi],
Yang, Y.[Yuran],
Zhang, Z.X.[Zhao-Xiang],
Informative Data Mining for One-shot Cross-Domain Semantic
Segmentation,
ICCV23(1064-1074)
IEEE DOI Code:
WWW Link.
2401
BibRef
Liu, Y.[Yabo],
Wang, J.H.[Jing-Hua],
Huang, C.[Chao],
Wang, Y.[Yaowei],
Xu, Y.[Yong],
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object
Detection,
CVPR23(23776-23786)
IEEE DOI
2309
BibRef
Geng, H.R.[Hao-Ran],
Xu, H.[Helin],
Zhao, C.Y.[Cheng-Yang],
Xu, C.[Chao],
Yi, L.[Li],
Huang, S.Y.[Si-Yuan],
Wang, H.[He],
GAPartNet: Cross-Category Domain-Generalizable Object Perception and
Manipulation via Generalizable and Actionable Parts,
CVPR23(7081-7091)
IEEE DOI
2309
BibRef
Nakamura, Y.[Yuzuru],
Ishii, Y.[Yasunori],
Maruyama, Y.[Yuki],
Yamashita, T.[Takayoshi],
Few-shot Adaptive Object Detection with Cross-domain Cutmix,
ACCV22(VI:746-763).
Springer DOI
2307
BibRef
Yu, J.Z.[Jin-Ze],
Liu, J.M.[Jia-Ming],
Wei, X.B.[Xiao-Bao],
Zhou, H.Y.[Hao-Yi],
Nakata, Y.[Yohei],
Gudovskiy, D.[Denis],
Okuno, T.[Tomoyuki],
Li, J.X.[Jian-Xin],
Keutzer, K.[Kurt],
Zhang, S.H.[Shang-Hang],
MTTrans: Cross-domain Object Detection with Mean Teacher Transformer,
ECCV22(IX:629-645).
Springer DOI
2211
BibRef
Gong, R.[Rui],
Danelljan, M.[Martin],
Dai, D.X.[Deng-Xin],
Paudel, D.P.[Danda Pani],
Chhatkuli, A.[Ajad],
Yu, F.[Fisher],
Van Gool, L.J.[Luc J.],
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation,
ECCV22(XXXIV:19-35).
Springer DOI
2211
BibRef
Su, J.P.[Jia-Peng],
Fan, Q.[Qi],
Pei, W.J.[Wen-Jie],
Lu, G.M.[Guang-Ming],
Chen, F.L.[Fang-Lin],
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation,
CVPR24(24036-24045)
IEEE DOI Code:
WWW Link.
2410
Training, Adaptation models, Codes, Semantic segmentation,
Perturbation methods, Computational modeling
BibRef
Lei, S.[Shuo],
Zhang, X.C.[Xu-Chao],
He, J.F.[Jian-Feng],
Chen, F.L.[Fang-Lan],
Du, B.[Bowen],
Lu, C.T.[Chang-Tien],
Cross-Domain Few-Shot Semantic Segmentation,
ECCV22(XXX:73-90).
Springer DOI
2211
BibRef
He, M.Z.[Meng-Zhe],
Wang, Y.[Yali],
Wu, J.X.[Jia-Xi],
Wang, Y.[Yiru],
Li, H.Q.[Han-Qing],
Li, B.[Bo],
Gan, W.H.[Wei-Hao],
Wu, W.[Wei],
Qiao, Y.[Yu],
Cross Domain Object Detection by Target-Perceived Dual Branch
Distillation,
CVPR22(9560-9570)
IEEE DOI
2210
Training, Degradation, Object detection, Detectors,
Benchmark testing, Proposals,
retrieval
BibRef
Li, Y.J.[Yu-Jhe],
Dai, X.L.[Xiao-Liang],
Ma, C.Y.[Chih-Yao],
Liu, Y.C.[Yen-Cheng],
Chen, K.[Kan],
Wu, B.[Bichen],
He, Z.J.[Zi-Jian],
Kitani, K.[Kris],
Vajda, P.[Peter],
Cross-Domain Adaptive Teacher for Object Detection,
CVPR22(7571-7580)
IEEE DOI
2210
Training, Adaptation models, Annotations, Target recognition,
Computational modeling, Object detection, Data models,
Self- semi- meta- unsupervised learning
BibRef
Liu, Y.[Yahao],
Deng, J.H.[Jin-Hong],
Tao, J.[Jiale],
Chu, T.[Tong],
Duan, L.X.[Li-Xin],
Li, W.[Wen],
Undoing the Damage of Label Shift for Cross-domain Semantic
Segmentation,
CVPR22(7032-7042)
IEEE DOI
2210
Codes, Shape, Semantics, Benchmark testing, Data models,
Transfer/low-shot/long-tail learning,
grouping and shape analysis
BibRef
Gao, H.[Huan],
Guo, J.C.[Ji-Chang],
Wang, G.L.[Guo-Li],
Zhang, Q.[Qian],
Cross-Domain Correlation Distillation for Unsupervised Domain
Adaptation in Nighttime Semantic Segmentation,
CVPR22(9903-9913)
IEEE DOI
2210
Image segmentation, Correlation, Shape, Semantics, Lighting,
Feature extraction, grouping and shape analysis,
Self- semi- meta- Segmentation
BibRef
Fan, J.S.[Jia-Shuo],
Gao, B.[Bin],
Jin, H.[Huan],
Jiang, L.H.[Li-Hui],
UCC: Uncertainty guided Cross-head Cotraining for Semi-Supervised
Semantic Segmentation,
CVPR22(9937-9946)
IEEE DOI
2210
Training, Deep learning, Uncertainty, Protocols, Semantics,
Neural networks, Self- semi- meta- Machine learning
BibRef
Peng, D.[Duo],
Lei, Y.J.[Yin-Jie],
Li, W.[Wen],
Zhang, P.P.[Ping-Ping],
Guo, Y.L.[Yu-Lan],
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal
Learning in Domain Adaptation for 3D Semantic Segmentation,
ICCV21(7088-7097)
IEEE DOI
2203
Point cloud compression, Training, Image segmentation, Semantics,
Adversarial machine learning, Probability distribution,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Remote Sensing, Aerial Imagery, Semantic Segmentation .