Cover Image

Weakly Supervised Segmentation as Semantic-Based Regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Colamonaco, Stefano, Florea, Andrei-Bogdan, Maene, Jaron
Format:	Preprint
Published:	2026
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

SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation
by: Zhao, Xinqiao, et al.
Published: (2024)

Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
by: Yin, Xu, et al.
Published: (2024)

Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation
by: Kim, David Minkwan, et al.
Published: (2025)

Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic Segmentation
by: Ahmadi, Rozhan, et al.
Published: (2024)

Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation
by: Kwon, JuneHyoung, et al.
Published: (2024)

Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
by: Tang, Feilong, et al.
Published: (2024)

AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
by: Ma, Jiaqi, et al.
Published: (2024)

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization
by: Fang, Zijie, et al.
Published: (2024)

3D Weakly Supervised Semantic Segmentation via Class-Aware and Geometry-Guided Pseudo-Label Refinement
by: Xu, Xiaoxu, et al.
Published: (2025)

Neurosymbolic Object-Centric Learning with Distant Supervision
by: Colamonaco, Stefano, et al.
Published: (2025)

Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey
by: Ran, Lingyan, et al.
Published: (2024)

Integrating Semi-Supervised and Active Learning for Semantic Segmentation
by: Ma, Wanli, et al.
Published: (2025)

Revisiting Network Perturbation for Semi-Supervised Semantic Segmentation
by: Li, Sien, et al.
Published: (2024)

Enhancing Weakly Supervised Semantic Segmentation for Fibrosis via Controllable Image Generation
by: Yue, Zhiling, et al.
Published: (2024)

SAPL: Semantic-Agnostic Prompt Learning in CLIP for Weakly Supervised Image Manipulation Localization
by: Wang, Xinghao, et al.
Published: (2026)

Weakly Supervised Teacher-Student Framework with Progressive Pseudo-mask Refinement for Gland Segmentation
by: Khan, Hikmat, et al.
Published: (2026)

Learning Egocentric In-Hand Object Segmentation through Weak Supervision from Human Narrations
by: Messina, Nicola, et al.
Published: (2025)

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation
by: Ma, Jiaqi, et al.
Published: (2025)

Multimodal SAM-adapter for Semantic Segmentation
by: Curti, Iacopo, et al.
Published: (2025)

Position Prediction Self-Supervised Learning for Multimodal Satellite Imagery Semantic Segmentation
by: Waithaka, John, et al.
Published: (2025)

Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation
by: Singh, Pranav, et al.
Published: (2024)

Facial Wrinkle Segmentation for Cosmetic Dermatology: Pretraining with Texture Map-Based Weak Supervision
by: Moon, Junho, et al.
Published: (2024)

Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception
by: Dong, Hang-Cheng, et al.
Published: (2025)

Weakly-Supervised Spatiotemporal Anomaly Detection
by: Gianchandani, Urvi, et al.
Published: (2026)

Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images
by: Wang, Shanwen, et al.
Published: (2026)

SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation
by: Yan, Weihao, et al.
Published: (2024)

DS$^2$Net: Detail-Semantic Deep Supervision Network for Medical Image Segmentation
by: Huang, Zhaohong, et al.
Published: (2025)

Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells
by: Luu, Vinh Quoc, et al.
Published: (2024)

FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images
by: Cheng, Hangbei, et al.
Published: (2025)

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance
by: Li, Xia, et al.
Published: (2026)

AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
by: Wang, Haonan, et al.
Published: (2024)

Bridging Synthetic and Real-World Domains: A Human-in-the-Loop Weakly-Supervised Framework for Industrial Toxic Emission Segmentation
by: Tao, Yida, et al.
Published: (2025)

Entropy Bootstrapping for Weakly Supervised Nuclei Detection
by: Willoughby, James, et al.
Published: (2024)

Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting
by: Marelli, Andrea, et al.
Published: (2025)

Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound
by: Huang, Yuhao, et al.
Published: (2025)

Semantic Segmentation by Semantic Proportions
by: Aysel, Halil Ibrahim, et al.
Published: (2023)

ViewSAM: Learning View-aware Cross-modal Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking
by: Ge, Jiawei, et al.
Published: (2026)

Harnessing Group-Oriented Consistency Constraints for Semi-Supervised Semantic Segmentation in CdZnTe Semiconductors
by: Li, Peihao, et al.
Published: (2025)

CRTrack: Low-Light Semi-Supervised Multi-object Tracking Based on Consistency Regularization
by: Zhao, Zijing, et al.
Published: (2025)

Bronchovascular Tree-Guided Weakly Supervised Learning Method for Pulmonary Segment Segmentation
by: Zhao, Ruijie, et al.
Published: (2025)