From Pixel to Mask: A Survey of Out-of-Distribution Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Wenjie, Li, Jia, Guo, Yunhui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Segment Every Out-of-Distribution Object
by: Zhao, Wenjie, et al.
Published: (2023)
by: Zhao, Wenjie, et al.
Published: (2023)
CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
by: Zhao, Wenjie, et al.
Published: (2026)
by: Zhao, Wenjie, et al.
Published: (2026)
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
by: Liu, Yuhang, et al.
Published: (2025)
by: Liu, Yuhang, et al.
Published: (2025)
From Waveforms to Pixels: A Survey on Audio-Visual Segmentation
by: Li, Jia, et al.
Published: (2025)
by: Li, Jia, et al.
Published: (2025)
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation
by: Liu, Yuhang, et al.
Published: (2025)
by: Liu, Yuhang, et al.
Published: (2025)
MOODv2: Masked Image Modeling for Out-of-Distribution Detection
by: Li, Jingyao, et al.
Published: (2024)
by: Li, Jingyao, et al.
Published: (2024)
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation
by: Maag, Kira, et al.
Published: (2023)
by: Maag, Kira, et al.
Published: (2023)
Pixel-level Quality Assessment for Oriented Object Detection
by: Zhu, Yunhui, et al.
Published: (2025)
by: Zhu, Yunhui, et al.
Published: (2025)
Mitigating the ID-OOD Tradeoff in Open-Set Test-Time Adaptation
by: Zhao, Wenjie, et al.
Published: (2026)
by: Zhao, Wenjie, et al.
Published: (2026)
SPOOF: Simple Pixel Operations for Out-of-Distribution Fooling
by: Gupta, Ankit, et al.
Published: (2025)
by: Gupta, Ankit, et al.
Published: (2025)
PixOOD: Pixel-Level Out-of-Distribution Detection
by: Vojíř, Tomáš, et al.
Published: (2024)
by: Vojíř, Tomáš, et al.
Published: (2024)
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
by: Wu, Weijia, et al.
Published: (2023)
by: Wu, Weijia, et al.
Published: (2023)
Boxes2Pixels: Learning Defect Segmentation from Noisy SAM Masks
by: Lendering, Camile, et al.
Published: (2026)
by: Lendering, Camile, et al.
Published: (2026)
From Pixels to Concepts: Do Segmentation Models Understand What They Segment?
by: Liang, Shuang, et al.
Published: (2026)
by: Liang, Shuang, et al.
Published: (2026)
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
by: Hölle, Marc, et al.
Published: (2025)
by: Hölle, Marc, et al.
Published: (2025)
From Pixels to Images: A Structural Survey of Deep Learning Paradigms in Remote Sensing Image Semantic Segmentation
by: Liu, Quanwei, et al.
Published: (2025)
by: Liu, Quanwei, et al.
Published: (2025)
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
by: Li, Chaohua, et al.
Published: (2025)
by: Li, Chaohua, et al.
Published: (2025)
Training-Free Out-Of-Distribution Segmentation With Foundation Models
by: Nayal, Laith, et al.
Published: (2025)
by: Nayal, Laith, et al.
Published: (2025)
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2025)
by: Li, Bingyu, et al.
Published: (2025)
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
by: Le, Minh-Quan, et al.
Published: (2023)
by: Le, Minh-Quan, et al.
Published: (2023)
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
by: Yin, Zijin, et al.
Published: (2024)
by: Yin, Zijin, et al.
Published: (2024)
OT-Drive: Out-of-Distribution Off-Road Traversable Area Segmentation via Optimal Transport
by: Zhao, Zhihua, et al.
Published: (2026)
by: Zhao, Zhihua, et al.
Published: (2026)
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
by: Marschall, Samuel, et al.
Published: (2024)
by: Marschall, Samuel, et al.
Published: (2024)
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels
by: Guo, Erjian, et al.
Published: (2025)
by: Guo, Erjian, et al.
Published: (2025)
Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation
by: Li, Yongkang, et al.
Published: (2024)
by: Li, Yongkang, et al.
Published: (2024)
Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
by: Chen, Yu-Jen, et al.
Published: (2025)
by: Chen, Yu-Jen, et al.
Published: (2025)
Synthetic Instance Segmentation from Semantic Image Segmentation Masks
by: Shen, Yuchen, et al.
Published: (2023)
by: Shen, Yuchen, et al.
Published: (2023)
Panoramic Out-of-Distribution Segmentation
by: Duan, Mengfei, et al.
Published: (2025)
by: Duan, Mengfei, et al.
Published: (2025)
Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Zhu, Wenjie, et al.
Published: (2025)
by: Zhu, Wenjie, et al.
Published: (2025)
Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces
by: Wang, Ruoqi, et al.
Published: (2025)
by: Wang, Ruoqi, et al.
Published: (2025)
From Semantics to Pixels: Coarse-to-Fine Masked Autoencoders for Hierarchical Visual Understanding
by: Xiang, Wenzhao, et al.
Published: (2026)
by: Xiang, Wenzhao, et al.
Published: (2026)
Moondream Segmentation: From Words to Masks
by: Reid, Ethan
Published: (2026)
by: Reid, Ethan
Published: (2026)
From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction
by: Lin, Fengming, et al.
Published: (2025)
by: Lin, Fengming, et al.
Published: (2025)
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
by: Lin, Jinhong, et al.
Published: (2024)
by: Lin, Jinhong, et al.
Published: (2024)
Generalized Out-of-Distribution Detection: A Survey
by: Yang, Jingkang, et al.
Published: (2021)
by: Yang, Jingkang, et al.
Published: (2021)
DiffPixelFormer: Differential Pixel-Aware Transformer for RGB-D Indoor Scene Segmentation
by: Gong, Yan, et al.
Published: (2025)
by: Gong, Yan, et al.
Published: (2025)
MAFS: Masked Autoencoder for Infrared-Visible Image Fusion and Semantic Segmentation
by: Wang, Liying, et al.
Published: (2025)
by: Wang, Liying, et al.
Published: (2025)
Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning
by: Rukundo, Olivier
Published: (2023)
by: Rukundo, Olivier
Published: (2023)
Soil Image Segmentation Based on Mask R-CNN
by: Chen, Yida, et al.
Published: (2023)
by: Chen, Yida, et al.
Published: (2023)
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation
by: Xie, Yunfei, et al.
Published: (2024)
by: Xie, Yunfei, et al.
Published: (2024)
Similar Items
-
Segment Every Out-of-Distribution Object
by: Zhao, Wenjie, et al.
Published: (2023) -
CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
by: Zhao, Wenjie, et al.
Published: (2026) -
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
by: Liu, Yuhang, et al.
Published: (2025) -
From Waveforms to Pixels: A Survey on Audio-Visual Segmentation
by: Li, Jia, et al.
Published: (2025) -
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation
by: Liu, Yuhang, et al.
Published: (2025)