Saved in:
| Main Authors: | Rauch, Lukas, Braml, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.14721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
WHU-PCPR: A cross-platform heterogeneous point cloud dataset for place recognition in complex urban scenes
by: Zou, Xianghong, et al.
Published: (2026)
by: Zou, Xianghong, et al.
Published: (2026)
Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
by: Rabadán, Miquel Martí i, et al.
Published: (2026)
by: Rabadán, Miquel Martí i, et al.
Published: (2026)
3DSES: an indoor Lidar point cloud segmentation dataset with real and pseudo-labels from a 3D model
by: Mérizette, Maxime, et al.
Published: (2025)
by: Mérizette, Maxime, et al.
Published: (2025)
3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching
by: Ye, Yibin, et al.
Published: (2024)
by: Ye, Yibin, et al.
Published: (2024)
3D objects and scenes classification, recognition, segmentation, and reconstruction using 3D point cloud data: A review
by: Elharrouss, Omar, et al.
Published: (2023)
by: Elharrouss, Omar, et al.
Published: (2023)
Self-supervised transformer-based pre-training method with General Plant Infection dataset
by: Wang, Zhengle, et al.
Published: (2024)
by: Wang, Zhengle, et al.
Published: (2024)
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes
by: Song, Ziyang, et al.
Published: (2023)
by: Song, Ziyang, et al.
Published: (2023)
A Self supervised learning framework for imbalanced medical imaging datasets
by: Sharma, Yash Kumar, et al.
Published: (2026)
by: Sharma, Yash Kumar, et al.
Published: (2026)
Self-supervised structured object representation learning
by: Hadjerci, Oussama, et al.
Published: (2025)
by: Hadjerci, Oussama, et al.
Published: (2025)
Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis
by: Holste, Gregory, et al.
Published: (2022)
by: Holste, Gregory, et al.
Published: (2022)
InLUT3D: Challenging real indoor dataset for point cloud analysis
by: Walczak, Jakub
Published: (2024)
by: Walczak, Jakub
Published: (2024)
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
by: Herde, Marek, et al.
Published: (2024)
by: Herde, Marek, et al.
Published: (2024)
Self-supervised cross-modality learning for uncertainty-aware object detection and recognition in applications which lack pre-labelled training data
by: Mehboob, Irum, et al.
Published: (2024)
by: Mehboob, Irum, et al.
Published: (2024)
3D scene generation from scene graphs and self-attention
by: Bonazzi, Pietro, et al.
Published: (2024)
by: Bonazzi, Pietro, et al.
Published: (2024)
Better (pseudo-)labels for semi-supervised instance segmentation
by: Porcher, François, et al.
Published: (2024)
by: Porcher, François, et al.
Published: (2024)
Transferring facade labels between point clouds with semantic octrees while considering change detection
by: Schwarz, Sophia, et al.
Published: (2024)
by: Schwarz, Sophia, et al.
Published: (2024)
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers
by: Romanelis, Ioannis, et al.
Published: (2023)
by: Romanelis, Ioannis, et al.
Published: (2023)
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation
by: Jin, Qiangguo, et al.
Published: (2025)
by: Jin, Qiangguo, et al.
Published: (2025)
PLANesT-3D: A new annotated dataset for segmentation of 3D plant point clouds
by: Mertoğlu, Kerem, et al.
Published: (2024)
by: Mertoğlu, Kerem, et al.
Published: (2024)
synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?
by: Flotzinger, Johannes, et al.
Published: (2025)
by: Flotzinger, Johannes, et al.
Published: (2025)
Deep learning-based approach for tomato classification in complex scenes
by: Mousse, Mikael A., et al.
Published: (2024)
by: Mousse, Mikael A., et al.
Published: (2024)
Human-annotated label noise and their impact on ConvNets for remote sensing image scene classification
by: Peng, Longkang, et al.
Published: (2023)
by: Peng, Longkang, et al.
Published: (2023)
Multi-label out-of-distribution detection via evidential learning
by: Aguilar, Eduardo, et al.
Published: (2025)
by: Aguilar, Eduardo, et al.
Published: (2025)
DC3DCD: unsupervised learning for multiclass 3D point cloud change detection
by: de Gélis, Iris, et al.
Published: (2023)
by: de Gélis, Iris, et al.
Published: (2023)
LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds
by: Wang, Chen, et al.
Published: (2025)
by: Wang, Chen, et al.
Published: (2025)
Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds
by: Ruoppa, Lassi, et al.
Published: (2025)
by: Ruoppa, Lassi, et al.
Published: (2025)
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds
by: Henrich, Jonathan, et al.
Published: (2023)
by: Henrich, Jonathan, et al.
Published: (2023)
A Versatile Framework for Multi-scene Person Re-identification
by: Zheng, Wei-Shi, et al.
Published: (2024)
by: Zheng, Wei-Shi, et al.
Published: (2024)
Learning with less: label-efficient land cover classification at very high spatial resolution using self-supervised deep learning
by: Hester, Dakota, et al.
Published: (2025)
by: Hester, Dakota, et al.
Published: (2025)
Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training
by: Wang, Jian, et al.
Published: (2024)
by: Wang, Jian, et al.
Published: (2024)
ViewPCL: a point cloud based active learning method for multi-view segmentation
by: Hilaire, Christian, et al.
Published: (2025)
by: Hilaire, Christian, et al.
Published: (2025)
No-reference geometry quality assessment for colorless point clouds via list-wise rank learning
by: Li, Zheng, et al.
Published: (2025)
by: Li, Zheng, et al.
Published: (2025)
SP${ }^3$ : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation
by: Li, Shiman, et al.
Published: (2024)
by: Li, Shiman, et al.
Published: (2024)
Enhancing the quality of gauge images captured in smoke and haze scenes through deep learning
by: Ramírez-Agudelo, Oscar H., et al.
Published: (2026)
by: Ramírez-Agudelo, Oscar H., et al.
Published: (2026)
AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation dataset
by: Li, Weihao, et al.
Published: (2026)
by: Li, Weihao, et al.
Published: (2026)
Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation
by: Thompson, Bethany H., et al.
Published: (2021)
by: Thompson, Bethany H., et al.
Published: (2021)
Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval
by: Wei, Rukai, et al.
Published: (2024)
by: Wei, Rukai, et al.
Published: (2024)
iMatcher: Improve matching in point cloud registration via local-to-global geometric consistency learning
by: Slimani, Karim, et al.
Published: (2025)
by: Slimani, Karim, et al.
Published: (2025)
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation
by: Sarker, Sushmita, et al.
Published: (2024)
by: Sarker, Sushmita, et al.
Published: (2024)
A dataset-free approach for self-supervised learning of 3D reflectional symmetries
by: Aguirre, Isaac, et al.
Published: (2025)
by: Aguirre, Isaac, et al.
Published: (2025)
Similar Items
-
WHU-PCPR: A cross-platform heterogeneous point cloud dataset for place recognition in complex urban scenes
by: Zou, Xianghong, et al.
Published: (2026) -
Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
by: Rabadán, Miquel Martí i, et al.
Published: (2026) -
3DSES: an indoor Lidar point cloud segmentation dataset with real and pseudo-labels from a 3D model
by: Mérizette, Maxime, et al.
Published: (2025) -
3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching
by: Ye, Yibin, et al.
Published: (2024) -
3D objects and scenes classification, recognition, segmentation, and reconstruction using 3D point cloud data: A review
by: Elharrouss, Omar, et al.
Published: (2023)