Cover Image

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Yi, Yang, Xue, Li, Yansheng, Han, Zhenjun, Da, Feipeng, Yan, Junchi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
by: Yu, Yi, et al.
Published: (2025)

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision
by: Yu, Yi, et al.
Published: (2023)

P2RBox: Point Prompt Oriented Object Detection with SAM
by: Cao, Guangming, et al.
Published: (2023)

Partial Weakly-Supervised Oriented Object Detection
by: Liu, Mingxin, et al.
Published: (2025)

PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection
by: Zhang, Peiyuan, et al.
Published: (2025)

ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection
by: Zeng, Ying, et al.
Published: (2023)

WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection
by: Tsou, Tsung-Lin, et al.
Published: (2023)

SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection
by: Zhang, Wei, et al.
Published: (2026)

Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object Detection
by: Zhao, Tong, et al.
Published: (2023)

Parallax-Tolerant Image Stitching with Epipolar Displacement Field
by: Yu, Jian, et al.
Published: (2023)

Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation
by: Li, Yan, et al.
Published: (2024)

Knowledge-guided Causal Intervention for Weakly-supervised Object Localization
by: Shao, Feifei, et al.
Published: (2023)

P2Object: Single Point Supervised Object Detection and Instance Segmentation
by: Chen, Pengfei, et al.
Published: (2025)

Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization
by: Shao, Feifei, et al.
Published: (2023)

SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detection
by: Liang, Dingkang, et al.
Published: (2024)

P2Seg: Pointly-supervised Segmentation via Mutual Distillation
by: Wang, Zipeng, et al.
Published: (2024)

Semantic-decoupled Spatial Partition Guided Point-supervised Oriented Object Detection
by: Liu, Xinyuan, et al.
Published: (2025)

Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images
by: Shi, Zhifei, et al.
Published: (2024)

PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
by: Ren, Botao, et al.
Published: (2024)

Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
by: Kotthapalli, Manikanta, et al.
Published: (2025)

Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels
by: Liu, Guozhang, et al.
Published: (2024)

Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
by: Gao, Hongzhi, et al.
Published: (2024)

Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection
by: Wang, Chenxu, et al.
Published: (2024)

Spatial Transform Decoupling for Oriented Object Detection
by: Yu, Hongtian, et al.
Published: (2023)

Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data Volume
by: Shang, Chuyang, et al.
Published: (2024)

Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal Consistency
by: Arefi, Farnoosh, et al.
Published: (2024)

InstructDET: Diversifying Referring Object Detection with Generalized Instructions
by: Dang, Ronghao, et al.
Published: (2023)

Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
by: Hu, Jian, et al.
Published: (2024)

VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection
by: Rai, Arushi, et al.
Published: (2023)

Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
by: Xiao, Zi-Kai, et al.
Published: (2024)

Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action Localization
by: Feng, Qianhan, et al.
Published: (2024)

Rethinking Boundary Discontinuity Problem for Oriented Object Detection
by: Xu, Hang, et al.
Published: (2023)

M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
by: Liao, Ning, et al.
Published: (2023)

Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies
by: Chen, Yifei, et al.
Published: (2024)

Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance
by: Huang, Kuan-Chih, et al.
Published: (2023)

Context-Aware Aerial Object Detection: Leveraging Inter-Object and Background Relationships
by: Ren, Botao, et al.
Published: (2024)

SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection
by: Yan, Weiqi, et al.
Published: (2025)

Robust Tiny Object Detection in Aerial Images amidst Label Noise
by: Zhu, Haoran, et al.
Published: (2024)

Diversifying Human Pose in Synthetic Data for Aerial-view Human Detection
by: Shen, Yi-Ting, et al.
Published: (2024)

CPR++: Object Localization via Single Coarse Point Supervision
by: Yu, Xuehui, et al.
Published: (2024)