Cover Image

Uncertainty Estimation in Instance Segmentation of Affordances via Bayesian Visual Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mur-Labadia, Lorenzo, Martinez-Cantina, Ruben, Guerrero, Jose J.
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating Affordances and Attention models for Short-Term Object Interaction Anticipation
by: Labadia, Lorenzo Mur, et al.
Published: (2026)

AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation
by: Mur-Labadia, Lorenzo, et al.
Published: (2024)

ZARRIO @ Ego4D Short Term Object Interaction Anticipation Challenge: Leveraging Affordances and Attention-based models for STA
by: Mur-Labadia, Lorenzo, et al.
Published: (2024)

DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos
by: Mur-Labadia, Lorenzo, et al.
Published: (2025)

CARLOR @ Ego4D Step Grounding Challenge: Bayesian temporal-order priors for test time refinement
by: Plou, Carlos, et al.
Published: (2024)

O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views
by: Mur-Labadia, Lorenzo, et al.
Published: (2025)

False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates
by: Maag, Kira
Published: (2021)

V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning
by: Mur-Labadia, Lorenzo, et al.
Published: (2026)

AISFormer: Amodal Instance Segmentation with Transformer
by: Tran, Minh, et al.
Published: (2022)

Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates
by: Maag, Kira, et al.
Published: (2020)

AffordanceSAM: Segment Anything Once More in Affordance Grounding
by: Jiang, Dengyang, et al.
Published: (2025)

Uncertainty Quantification for Visual Object Pose Estimation
by: Shaikewitz, Lorenzo, et al.
Published: (2025)

Towards Instance Segmentation with Polygon Detection Transformers
by: Sun, Jiacheng, et al.
Published: (2026)

Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation
by: Heidecker, Florian, et al.
Published: (2024)

GMT: Guided Mask Transformer for Leaf Instance Segmentation
by: Chen, Feng, et al.
Published: (2024)

Amodal Instance Segmentation with Diffusion Shape Prior Estimation
by: Tran, Minh, et al.
Published: (2024)

Learning Visual Affordance from Audio
by: Lu, Lidong, et al.
Published: (2025)

Segmenting Object Affordances: Reproducibility and Sensitivity to Scale
by: Apicella, Tommaso, et al.
Published: (2024)

Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation
by: Dong, Jiahua, et al.
Published: (2025)

CompetitorFormer: Competitor Transformer for 3D Instance Segmentation
by: Wang, Duanchu, et al.
Published: (2024)

Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
by: Almeida, Luís, et al.
Published: (2024)

Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation
by: Kim, Geonuk
Published: (2024)

Estimating Uncertainty in Landslide Segmentation Models
by: Nagendra, Savinay, et al.
Published: (2023)

Visual-Geometric Collaborative Guidance for Affordance Learning
by: Luo, Hongchen, et al.
Published: (2024)

IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception
by: Wang, Shaohong, et al.
Published: (2024)

Can Segmentation Models Understand the World? Towards Proactive Affordance Reasoning via Visual Chain-of-Thought
by: Guo, Yuchen, et al.
Published: (2026)

Visual Affordance Prediction: Survey and Reproducibility
by: Apicella, Tommaso, et al.
Published: (2025)

Complete Instances Mining for Weakly Supervised Instance Segmentation
by: Li, Zecheng, et al.
Published: (2024)

SeaVIS: Sound-Enhanced Association for Online Audio-Visual Instance Segmentation
by: Zhu, Yingjian, et al.
Published: (2026)

Phase-Interface Instance Segmentation as a Visual Sensor for Laboratory Process Monitoring
by: Li, Mingyue, et al.
Published: (2026)

AffordanceGrasp-R1:Leveraging Reasoning-Based Affordance Segmentation with Reinforcement Learning for Robotic Grasping
by: Zhou, Dingyi, et al.
Published: (2026)

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
by: Chen, Yuanhong, et al.
Published: (2023)

Unlocking 3D Affordance Segmentation with 2D Semantic Knowledge
by: Huang, Yu, et al.
Published: (2025)

PlankFormer: Robust Plankton Instance Segmentation via MAE-Pretrained Vision Transformers and Pseudo Community Image Generation
by: Miyazaki, Masaharu, et al.
Published: (2026)

ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
by: Tran, Minh, et al.
Published: (2024)

SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation
by: Yao, Lei, et al.
Published: (2024)

Uncertainty Estimation for Pretrained Medical Image Registration Models via Transformation Equivariance
by: Tian, Lin, et al.
Published: (2025)

Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation
by: Wu, Yizheng, et al.
Published: (2024)

Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation
by: Cheng, Zesen, et al.
Published: (2024)

Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images
by: Li, Xuexue
Published: (2024)