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2202
Self-supervision, Point cloud, Semantic segmentation
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Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation
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Springer DOI
2307
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Hoyer, L.[Lukas],
Tan, D.J.[David Joseph],
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Tombari, F.[Federico],
SemiVL: Semi-supervised Semantic Segmentation with Vision-Language
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ECCV24(XXXIX: 257-275).
Springer DOI
2412
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Hoyer, L.[Lukas],
Dai, D.X.[Deng-Xin],
Chen, Y.H.[Yu-Hua],
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Saha, S.[Suman],
Van Gool, L.J.[Luc J.],
Three Ways to Improve Semantic Segmentation with Self-Supervised
Depth Estimation,
CVPR21(11125-11135)
IEEE DOI
2111
Geometry, Training, Image segmentation, Annotations, Semantics,
Estimation, Training data
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Gong, R.[Rui],
Wang, Q.[Qin],
Danelljan, M.[Martin],
Dai, D.X.[Deng-Xin],
Van Gool, L.J.[Luc J.],
Continuous Pseudo-Label Rectified Domain Adaptive Semantic
Segmentation with Implicit Neural Representations,
CVPR23(7225-7235)
IEEE DOI
2309
BibRef
Wang, Q.[Qin],
Dai, D.X.[Deng-Xin],
Hoyer, L.[Lukas],
Van Gool, L.J.[Luc J.],
Fink, O.[Olga],
Domain Adaptive Semantic Segmentation with Self-Supervised Depth
Estimation,
ICCV21(8495-8505)
IEEE DOI
2203
Bridges, Visualization, Correlation, Navigation, Semantics, Estimation,
Transfer/Low-shot/Semi/Unsupervised Learning,
Vision for robotics and autonomous vehicles
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Wu, H.[Hua],
Huang, Z.[Zhe],
Zheng, W.[Wanhao],
Bai, X.J.[Xiao-Jing],
Sun, L.[Li],
Pu, M.Y.[Meng-Yang],
SSGAM-Net: A Hybrid Semi-Supervised and Supervised Network for Robust
Semantic Segmentation Based on Drone LiDAR Data,
RS(16), No. 1, 2024, pp. xx-yy.
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BibRef
Zhang, Y.S.[Yun-Sheng],
Yao, J.G.[Jian-Guo],
Zhang, R.X.[Rui-Xiang],
Wang, X.Y.[Xu-Ying],
Chen, S.Y.[Si-Yang],
Fu, H.[Han],
HAVANA: Hard Negative Sample-Aware Self-Supervised Contrastive
Learning for Airborne Laser Scanning Point Cloud Semantic
Segmentation,
RS(16), No. 3, 2024, pp. 485.
DOI Link
2402
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Zheng, X.Y.[Xiao-Yun],
Liao, L.W.[Li-Wei],
Jiao, J.B.[Jian-Bo],
Gao, F.[Feng],
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Surface-SOS: Self-Supervised Object Segmentation via Neural Surface
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IP(33), 2024, pp. 2018-2031.
IEEE DOI Code:
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2403
Image segmentation, Videos, Object segmentation,
Motion segmentation, Geometry, Training, multi-view object segmentation
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Shu, Z.Y.[Zhen-Yu],
Wu, T.[Teng],
Shen, J.J.[Jia-Jun],
Xin, S.Q.[Shi-Qing],
Liu, L.G.[Li-Gang],
Semi-Supervised 3D Shape Segmentation via Self Refining,
IP(33), 2024, pp. 2044-2057.
IEEE DOI
2403
Shape, Training, Task analysis, Labeling,
Faces, Vectors, 3D shape segmentation, semi-supervised, deep neural network
BibRef
Du, A.[Anan],
Zhou, T.F.[Tian-Fei],
Pang, S.[Shuchao],
Wu, Q.[Qiang],
Zhang, J.[Jian],
PCL: Point Contrast and Labeling for Weakly Supervised Point Cloud
Semantic Segmentation,
MultMed(26), 2024, pp. 8902-8914.
IEEE DOI
2408
Point cloud compression, Semantic segmentation, Task analysis,
Self-supervised learning, Convolution, Training, Point cloud,
contrastive learning
BibRef
Xuan, W.H.[Wei-Hao],
Qi, H.[Heli],
Xiao, A.[Aoran],
TSG-Seg: Temporal-selective guidance for semi-supervised semantic
segmentation of 3D LiDAR point clouds,
PandRS(216), 2024, pp. 217-228.
Elsevier DOI Code:
WWW Link.
2408
3D point cloud, LiDAR, Semantic segmentation,
Semi-supervised learning, Spatio-temporal learning, Autonomous driving
BibRef
Wu, J.W.[Jun-Wei],
Sun, M.J.[Ming-Jie],
Xu, H.T.[Hao-Tian],
Jiang, C.[Chenru],
Ma, W.[Wuwei],
Zhang, Q.[Quan],
Class Agnostic and Specific Consistency Learning for
Weakly-Supervised Point Cloud Semantic Segmentation,
PR(158), 2025, pp. 111067.
Elsevier DOI Code:
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2411
3d point cloud, Weakly-supervised learning, Consistency learning
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Liu, Y.[Yan],
Hu, Q.Y.[Qing-Yong],
Guo, Y.L.[Yu-Lan],
BSTS: A Weakly-Supervised Method for Semantic Learning of 3D Point
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CirSysVideo(34), No. 11, November 2024, pp. 11386-11399.
IEEE DOI
2412
Point cloud compression, Annotations, Semantics,
Semantic segmentation, Labeling, Circuits and systems
BibRef
Zhang, Y.F.[Yi-Fan],
Hou, J.H.[Jun-Hui],
Ren, S.[Siyu],
Wu, J.J.[Jin-Jian],
Yuan, Y.X.[Yi-Xuan],
Shi, G.M.[Guang-Ming],
Self-Supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural
Calibration,
PAMI(47), No. 10, October 2025, pp. 9201-9216.
IEEE DOI
2510
Point cloud compression, Self-supervised learning, Training,
Laser radar, Image reconstruction, Semantic segmentation, registration
BibRef
Dong, Q.L.[Qiu-Lei],
Li, J.A.[Jian-An],
Deng, S.[Shuang],
Towards Semi-Supervised Dual-Modal Semantic Segmentation,
MultMed(27), 2025, pp. 8212-8224.
IEEE DOI
2511
BibRef
Earlier: A2, A1, Only:
Density-Guided Semi-Supervised 3D Semantic Segmentation with
Dual-Space Hardness Sampling,
CVPR24(3260-3269)
IEEE DOI
2410
Point cloud compression, Feature extraction,
Semantic segmentation, Contrastive learning, Training, Semantics,
semi-supervised semantic segmentation.
Annotations, Semantics, Point Cloud Segmentation, Semi-supervised Learning
BibRef
Xu, J.Y.[Jing-Yi],
Yang, W.D.[Wei-Dong],
Kong, L.[Lingdong],
Liu, Y.[Youquan],
Zhou, Q.Y.[Qing-Yuan],
Zhang, R.[Rui],
Li, Z.J.[Zhi-Jun],
Chen, W.M.[Wen-Ming],
Fei, B.[Ben],
Visual Foundation Models Boost Cross-Modal Unsupervised Domain
Adaptation for 3D Semantic Segmentation,
ITS(26), No. 11, November 2025, pp. 20287-20301.
IEEE DOI Code:
WWW Link.
2511
Point cloud compression, Visualization, Neural networks,
Foundation models, Training, Semantics, Semantic segmentation,
visual foundation model
BibRef
Wang, J.Y.[Jing-Yi],
Xiang, X.J.[Xiao-Jia],
Lai, J.[Jun],
Liu, Y.[Yu],
Li, Q.[Qi],
Chen, C.[Chen],
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Generalization for LiDAR Semantic Segmentation,
RS(18), No. 2, 2026, pp. 192.
DOI Link
2602
BibRef
Nisar, B.[Barza],
Waslander, S.L.[Steven L.],
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point
Clouds,
CVPR25(6670-6679)
IEEE DOI Code:
WWW Link.
2508
Point cloud compression, Location awareness, Solid modeling,
Laser radar, Semantic segmentation, Object detection,
3d semantic segmentation
BibRef
Zhang, Z.[Zihui],
Dai, W.S.[Wei-Sheng],
Wen, H.T.[Hong-Tao],
Yang, B.[Bo],
LogoSP: Local-global Grouping of Superpoints for Unsupervised
Semantic Segmentation of 3D Point Clouds,
CVPR25(1374-1384)
IEEE DOI Code:
WWW Link.
2508
Training, Point cloud compression, Accuracy, Codes,
Semantic segmentation, Frequency-domain analysis, Semantics, Pattern recognition
BibRef
Lin, R.D.,
Weng, P.C.[Peng-Cheng],
Wang, Y.Q.[Yin-Qiao],
Ding, H.[Han],
Han, J.S.[Jin-Song],
Wang, F.[Fei],
HiLoTs: High-Low Temporal Sensitive Representation Learning for
Semi-Supervised LiDAR Segmentation in Autonomous Driving,
CVPR25(1429-1438)
IEEE DOI
2508
Point cloud compression, Representation learning, Sensitivity,
Laser radar, Graphical models, Shape, Semantic segmentation, Roads,
point cloud semantic segmentation
BibRef
Chen, T.Y.[Tsung-Yu],
Yang, L.[Luyu],
Chuang, T.Y.[Tzu-Yu],
Lai, S.H.[Shang-Hong],
CACE: Sim-to-Real Indoor 3D Semantic Segmentation via Context-Aware
Augmentation and Consistency Enforcement,
WACV25(8356-8367)
IEEE DOI
2505
Semantic segmentation, Noise, Training data, Benchmark testing,
unsupervised domain adaptation, point cloud,
self-supervised learning
BibRef
Liu, Y.Y.[Yu-Yuan],
Chen, Y.H.[Yuan-Hong],
Wang, H.[Hu],
Belagiannis, V.[Vasileios],
Reid, I.D.[Ian D.],
Carneiro, G.[Gustavo],
Ittakestwo: Leveraging Peer Representations for Semi-supervised Lidar
Semantic Segmentation,
ECCV24(I: 81-99).
Springer DOI
2412
BibRef
Li, J.A.[Jian-An],
Dong, Q.[Qiulei],
Lass3d: Language-assisted Semi-supervised 3d Semantic Segmentation with
Progressive Unreliable Data Exploitation,
ECCV24(III: 252-269).
Springer DOI
2412
BibRef
Wang, C.Y.[Cheng-Yao],
Jiang, L.[Li],
Wu, X.Y.[Xiao-Yang],
Tian, Z.T.[Zhuo-Tao],
Peng, B.H.[Bo-Hao],
Zhao, H.S.[Heng-Shuang],
Jia, J.Y.[Jia-Ya],
GroupContrast: Semantic-Aware Self-Supervised Representation Learning
for 3D Understanding,
CVPR24(4917-4928)
IEEE DOI
2410
Representation learning, Point cloud compression,
Semantic segmentation, Semantics, Transfer learning, Prototypes
BibRef
Du, S.L.[Sheng-Lan],
Ibrahimli, N.[Nail],
Stoter, J.[Jantien],
Kooij, J.[Julian],
Nan, L.L.[Liang-Liang],
Push-the-Boundary: Boundary-aware Feature Propagation for Semantic
Segmentation of 3D Point Clouds,
3DV22(1-10)
IEEE DOI Code:
WWW Link.
2408
Point cloud compression, Location awareness,
Semantic segmentation, Semantics, Self-supervised learning, Encoding
BibRef
Unal, O.[Ozan],
Dai, D.X.[Deng-Xin],
Hoyer, L.[Lukas],
Can, Y.B.[Yigit Baran],
Van Gool, L.J.[Luc J.],
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic
Segmentation,
WACV24(7321-7330)
IEEE DOI
2404
Training, Image sensors, Laser radar, Annotations, Semantic segmentation,
Semantics, Applications, Autonomous Driving, Remote Sensing
BibRef
Liu, J.X.[Jia-Xu],
Yu, Z.[Zhengdi],
Breckon, T.P.[Toby P.],
Shum, H.P.H.[Hubert P. H.],
U3DS3: Unsupervised 3D Semantic Scene Segmentation,
WACV24(3747-3756)
IEEE DOI
2404
Point cloud compression, Training, Representation learning,
Solid modeling, Semantics, Algorithms, 3D computer vision,
Image recognition and understanding
BibRef
Tran, A.T.[Anh-Thuan],
Le, H.S.[Hoanh-Su],
Lee, S.H.[Suk-Hwan],
Kwon, K.R.[Ki-Ryong],
PointCT: Point Central Transformer Network for Weakly-supervised
Point Cloud Semantic Segmentation,
WACV24(3544-3553)
IEEE DOI
2404
Point cloud compression, Annotations, Semantic segmentation, Noise,
Transformers, Algorithms, 3D computer vision
BibRef
Rahman, M.A.[Md Awsafur],
Fattah, S.A.[Shaikh Anowarul],
Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer
and NearFarMix Augmentation,
WACV24(249-258)
IEEE DOI
2404
Symbiosis, Semantics, Merging, Information sharing, Estimation, Algorithms
BibRef
Carós, M.[Mariona],
Just, A.[Ariadna],
Seguí, S.[Santi],
Vitriŕ, J.[Jordi],
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on
LiDAR data,
MVA23(1-6)
DOI Link
2403
Point cloud compression, Laser radar,
Semantic segmentation, Semantics, Supervised learning, Object segmentation
BibRef
Qian, R.[Rui],
Ding, S.[Shuangrui],
Liu, X.[Xian],
Lin, D.[Dahua],
Semantics Meets Temporal Correspondence:
Self-supervised Object-centric Learning in Videos,
ICCV23(16629-16641)
IEEE DOI Code:
WWW Link.
2401
BibRef
Xu, Z.Y.[Zong-Yi],
Yuan, B.[Bo],
Zhao, S.S.[Shan-Shan],
Zhang, Q.N.[Qian-Ni],
Gao, X.B.[Xin-Bo],
Hierarchical Point-Based Active Learning for Semi-Supervised Point
Cloud Semantic Segmentation,
ICCV23(18052-18062)
IEEE DOI Code:
WWW Link.
2401
BibRef
Liu, L.Z.[Li-Zhao],
Zhuang, Z.W.[Zhuang-Wei],
Huang, S.X.[Shang-Xin],
Xiao, X.L.[Xun-Long],
Xiang, T.H.[Tian-Hang],
Chen, C.[Cen],
Wang, J.D.[Jing-Dong],
Tan, M.K.[Ming-Kui],
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point
Cloud Semantic Segmentation,
ICCV23(18367-18376)
IEEE DOI
2401
BibRef
Kong, L.D.[Ling-Dong],
Ren, J.W.[Jia-Wei],
Pan, L.[Liang],
Liu, Z.W.[Zi-Wei],
LaserMix for Semi-Supervised LiDAR Semantic Segmentation,
CVPR23(21706-21716)
IEEE DOI
2309
BibRef
Unal, O.[Ozan],
Dai, D.X.[Deng-Xin],
Van Gool, L.J.[Luc J.],
Scribble-Supervised LiDAR Semantic Segmentation,
CVPR22(2687-2697)
IEEE DOI
2210
Point cloud compression, Training, Laser radar, Codes, Annotations,
Computational modeling, Segmentation,
Self- semi- meta- unsupervised learning
BibRef
Bansal, N.[Nitin],
Ji, P.[Pan],
Yuan, J.S.[Jun-Song],
Xu, Y.[Yi],
Semantics-Depth-Symbiosis:
Deeply Coupled Semi-Supervised Learning of Semantics and Depth,
WACV23(5817-5828)
IEEE DOI
2302
Training, Symbiosis, Semantic segmentation, Semantics, Estimation,
Performance gain
BibRef
Li, L.X.[Lan-Xiao],
Heizmann, M.[Michael],
A Closer Look at Invariances in Self-supervised Pre-training for 3D
Vision,
ECCV22(XXX:656-673).
Springer DOI
2211
BibRef
Jiang, L.[Li],
Shi, S.S.[Shao-Shuai],
Tian, Z.T.[Zhuo-Tao],
Lai, X.[Xin],
Liu, S.[Shu],
Fu, C.W.[Chi-Wing],
Jia, J.Y.[Jia-Ya],
Guided Point Contrastive Learning for Semi-supervised Point Cloud
Semantic Segmentation,
ICCV21(6403-6412)
IEEE DOI
2203
Point cloud compression, Training, Representation learning,
Solid modeling, Costs, Semantics, Stereo,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Jiang, L.[Li],
Zhao, H.S.[Heng-Shuang],
Liu, S.[Shu],
Shen, X.Y.[Xiao-Yong],
Fu, C.W.[Chi-Wing],
Jia, J.Y.[Jia-Ya],
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic
Segmentation,
ICCV19(10432-10440)
IEEE DOI
2004
graph theory, image colour analysis, image segmentation,
message passing, object detection, Labeling
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Semantic Object Detection RGB-D Data, RGBD Data .