Imagen de Portada

Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Fei, Marquez-Neila, Pablo, Rafi-Tarii, Hedyeh, Sznitman, Raphael
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection
por: Doorenbos, Lars, et al.
Publicado: (2024)

Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
por: Doorenbos, Lars, et al.
Publicado: (2024)

Non-Linear Outlier Synthesis for Out-of-Distribution Detection
por: Doorenbos, Lars, et al.
Publicado: (2024)

Targeted Visual Prompting for Medical Visual Question Answering
por: Tascon-Morales, Sergio, et al.
Publicado: (2024)

Masked Image Modelling for retinal OCT understanding
por: Pissas, Theodoros, et al.
Publicado: (2024)

SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation
por: Tejero, Javier Gamazo, et al.
Publicado: (2025)

Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation
por: Ghamsarian, Negin, et al.
Publicado: (2025)

A Review on Machine Learning Algorithms for Dust Aerosol Detection using Satellite Data
por: Rafi, Nurul, et al.
Publicado: (2024)

Learning Ordinality in Semantic Segmentation
por: Cruz, Ricardo P. M., et al.
Publicado: (2024)

Segment Any Vehicle: Semantic and Visual Context Driven SAM and A Benchmark
por: Wang, Xiao, et al.
Publicado: (2025)

Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning
por: Zhang, Le, et al.
Publicado: (2025)

DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
por: Zhu, Kevin, et al.
Publicado: (2026)

Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation
por: Miandashti, Hanieh Shojaei, et al.
Publicado: (2024)

Do Your Best and Get Enough Rest for Continual Learning
por: Kang, Hankyul, et al.
Publicado: (2025)

Learning to Generate Training Datasets for Robust Semantic Segmentation
por: Hariat, Marwane, et al.
Publicado: (2023)

Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection
por: Marnet, Luiza Ribeiro, et al.
Publicado: (2024)

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
por: Vepa, Arvind Murari, et al.
Publicado: (2024)

SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios
por: Mandalika, Sriram, et al.
Publicado: (2024)

Hyperbolic Random Forests
por: Doorenbos, Lars, et al.
Publicado: (2023)

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
por: Cao, Ji, et al.
Publicado: (2025)

Online 3D reconstruction and dense tracking in endoscopic videos
por: Hayoz, Michel, et al.
Publicado: (2024)

Noisy Annotations in Semantic Segmentation
por: Kimhi, Moshe, et al.
Publicado: (2024)

Selective Masking based Self-Supervised Learning for Image Semantic Segmentation
por: Wang, Yuemin, et al.
Publicado: (2025)

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
por: Xie, Haoyu, et al.
Publicado: (2024)

MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
por: Zhao, Hanbin, et al.
Publicado: (2020)

Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
por: Lin, Ci-Siang, et al.
Publicado: (2024)

Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
por: Fan, Heng-Bo, et al.
Publicado: (2024)

Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context Adaptation
por: Daniel, Rui, et al.
Publicado: (2025)

Medical Semantic Segmentation with Diffusion Pretrain
por: Li, David, et al.
Publicado: (2025)

Propensity-driven Uncertainty Learning for Sample Exploration in Source-Free Active Domain Adaptation
por: Pan, Zicheng, et al.
Publicado: (2025)

One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling
por: Abedi, Ali, et al.
Publicado: (2025)

Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects
por: Dong, Hang-Cheng, et al.
Publicado: (2025)

Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
por: Wu, Shaojin, et al.
Publicado: (2025)

Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation
por: Akkaya, Ibrahim Batuhan, et al.
Publicado: (2022)

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP
por: Xu, Zhongxing, et al.
Publicado: (2024)

LMSeg: Unleashing the Power of Large-Scale Models for Open-Vocabulary Semantic Segmentation
por: Tang, Huadong, et al.
Publicado: (2024)

Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples
por: Jo, Dae Ung, et al.
Publicado: (2024)

Exploring Simple Open-Vocabulary Semantic Segmentation
por: Lai, Zihang
Publicado: (2024)

MMSFormer: Multimodal Transformer for Material and Semantic Segmentation
por: Reza, Md Kaykobad, et al.
Publicado: (2023)

Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features
por: Gildenblat, Jacob, et al.
Publicado: (2024)