Unsupervised Class Generation to Expand Semantic Segmentation Datasets
Fuente:
arXiv
Guardado en:
| Autores principales: | Montalvo, Javier, García-Martín, Álvaro, Carballeira, Pablo, SanMiguel, Juan C. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances
por: Montalvo, Javier, et al.
Publicado: (2024)
por: Montalvo, Javier, et al.
Publicado: (2024)
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR Imaging
por: Montalvo, Javier, et al.
Publicado: (2025)
por: Montalvo, Javier, et al.
Publicado: (2025)
Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models
por: Ayuso-Albizu, Pablo, et al.
Publicado: (2025)
por: Ayuso-Albizu, Pablo, et al.
Publicado: (2025)
A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models
por: Alonso, Alejandro, et al.
Publicado: (2025)
por: Alonso, Alejandro, et al.
Publicado: (2025)
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
por: Marcos-Manchón, Pablo, et al.
Publicado: (2024)
por: Marcos-Manchón, Pablo, et al.
Publicado: (2024)
Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks
por: Alcover-Couso, Roberto, et al.
Publicado: (2024)
por: Alcover-Couso, Roberto, et al.
Publicado: (2024)
VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation
por: Alcover-Couso, Roberto, et al.
Publicado: (2024)
por: Alcover-Couso, Roberto, et al.
Publicado: (2024)
Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks
por: Alcover-Couso, Roberto, et al.
Publicado: (2024)
por: Alcover-Couso, Roberto, et al.
Publicado: (2024)
SPIN: Spacecraft Imagery for Navigation
por: Montalvo, Javier, et al.
Publicado: (2024)
por: Montalvo, Javier, et al.
Publicado: (2024)
Test-Time Adaptation for Keypoint-Based Spacecraft Pose Estimation Based on Predicted-View Synthesis
por: Pérez-Villar, Juan Ignacio Bravo, et al.
Publicado: (2024)
por: Pérez-Villar, Juan Ignacio Bravo, et al.
Publicado: (2024)
MIRAGE: Retrieval and Generation of Multimodal Images and Texts for Medical Education
por: Benito, Miguel Diaz, et al.
Publicado: (2026)
por: Benito, Miguel Diaz, et al.
Publicado: (2026)
Soft labelling for semantic segmentation: Bringing coherence to label down-sampling
por: Alcover-Couso, Roberto, et al.
Publicado: (2023)
por: Alcover-Couso, Roberto, et al.
Publicado: (2023)
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets
por: Lei, Qin, et al.
Publicado: (2024)
por: Lei, Qin, et al.
Publicado: (2024)
Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework
por: Ortego, Diego, et al.
Publicado: (2025)
por: Ortego, Diego, et al.
Publicado: (2025)
Unsupervised Semantic Segmentation Facilitates Model Understanding
por: Yu, Xiaoyan, et al.
Publicado: (2026)
por: Yu, Xiaoyan, et al.
Publicado: (2026)
Can Unsupervised Segmentation Reduce Annotation Costs for Video Semantic Segmentation?
por: Some, Samik, et al.
Publicado: (2026)
por: Some, Samik, et al.
Publicado: (2026)
Federated Unsupervised Semantic Segmentation
por: Charalampakis, Evangelos, et al.
Publicado: (2025)
por: Charalampakis, Evangelos, et al.
Publicado: (2025)
Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation
por: Seong, Hyun Seok, et al.
Publicado: (2024)
por: Seong, Hyun Seok, et al.
Publicado: (2024)
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation
por: Cheung, Yau Shing Jonathan, et al.
Publicado: (2023)
por: Cheung, Yau Shing Jonathan, et al.
Publicado: (2023)
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
por: Hahn, Oliver, et al.
Publicado: (2024)
por: Hahn, Oliver, et al.
Publicado: (2024)
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals
por: Zakir, Hussni Mohd, et al.
Publicado: (2024)
por: Zakir, Hussni Mohd, et al.
Publicado: (2024)
A Dataset for Semantic Segmentation in the Presence of Unknowns
por: Laskar, Zakaria, et al.
Publicado: (2025)
por: Laskar, Zakaria, et al.
Publicado: (2025)
Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation
por: Hagmanns, Raphael, et al.
Publicado: (2024)
por: Hagmanns, Raphael, et al.
Publicado: (2024)
DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation
por: Kang, Beomseok, et al.
Publicado: (2025)
por: Kang, Beomseok, et al.
Publicado: (2025)
CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation
por: Ge, Jinchao, et al.
Publicado: (2024)
por: Ge, Jinchao, et al.
Publicado: (2024)
Hierarchical Semantic Learning for Multi-Class Aorta Segmentation
por: Shi, Pengcheng
Publicado: (2025)
por: Shi, Pengcheng
Publicado: (2025)
Open-World Semantic Segmentation Including Class Similarity
por: Sodano, Matteo, et al.
Publicado: (2024)
por: Sodano, Matteo, et al.
Publicado: (2024)
Mitigating Background Shift in Class-Incremental Semantic Segmentation
por: Park, Gilhan, et al.
Publicado: (2024)
por: Park, Gilhan, et al.
Publicado: (2024)
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
por: Zhu, Guilin, et al.
Publicado: (2024)
por: Zhu, Guilin, et al.
Publicado: (2024)
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
por: Vobecky, Antonin, et al.
Publicado: (2022)
por: Vobecky, Antonin, et al.
Publicado: (2022)
OMUDA: Omni-level Masking for Unsupervised Domain Adaptation in Semantic Segmentation
por: Ou, Yang, et al.
Publicado: (2025)
por: Ou, Yang, et al.
Publicado: (2025)
ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
por: Wang, Jingyun, et al.
Publicado: (2024)
por: Wang, Jingyun, et al.
Publicado: (2024)
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
por: Kim, Chanyoung, et al.
Publicado: (2024)
por: Kim, Chanyoung, et al.
Publicado: (2024)
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
por: Sick, Leon, et al.
Publicado: (2023)
por: Sick, Leon, et al.
Publicado: (2023)
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
por: Xia, Ruihao, et al.
Publicado: (2024)
por: Xia, Ruihao, et al.
Publicado: (2024)
Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
por: Li, Wangkai, et al.
Publicado: (2024)
por: Li, Wangkai, et al.
Publicado: (2024)
Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
por: Pan, Tan, et al.
Publicado: (2025)
por: Pan, Tan, et al.
Publicado: (2025)
Interactive Interface For Semantic Segmentation Dataset Synthesis
por: Tran, Ngoc-Do, et al.
Publicado: (2025)
por: Tran, Ngoc-Do, et al.
Publicado: (2025)
VDD: Varied Drone Dataset for Semantic Segmentation
por: Cai, Wenxiao, et al.
Publicado: (2023)
por: Cai, Wenxiao, et al.
Publicado: (2023)
Training-Free Class Purification for Open-Vocabulary Semantic Segmentation
por: Chen, Qi, et al.
Publicado: (2025)
por: Chen, Qi, et al.
Publicado: (2025)
Ejemplares similares
-
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances
por: Montalvo, Javier, et al.
Publicado: (2024) -
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR Imaging
por: Montalvo, Javier, et al.
Publicado: (2025) -
Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models
por: Ayuso-Albizu, Pablo, et al.
Publicado: (2025) -
A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models
por: Alonso, Alejandro, et al.
Publicado: (2025) -
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
por: Marcos-Manchón, Pablo, et al.
Publicado: (2024)