Cover Image

Segment Every Out-of-Distribution Object

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Wenjie, Li, Jia, Dong, Xin, Xiang, Yu, Guo, Yunhui
Format:	Preprint
Published:	2023
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

From Pixel to Mask: A Survey of Out-of-Distribution Segmentation
by: Zhao, Wenjie, et al.
Published: (2025)

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)

Mitigating the ID-OOD Tradeoff in Open-Set Test-Time Adaptation
by: Zhao, Wenjie, et al.
Published: (2026)

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation
by: Liu, Yuhang, et al.
Published: (2025)

Detecting Every Object from Events
by: Zhang, Haitian, et al.
Published: (2024)

Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation
by: Lu, Yangxiao, et al.
Published: (2024)

Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object Segmentation
by: Dong, Guanfang, et al.
Published: (2023)

Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Zhu, Wenjie, et al.
Published: (2025)

Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation
by: Mosco, Simone, et al.
Published: (2026)

Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
by: Zhang, Qifan, et al.
Published: (2024)

Pixel-level Quality Assessment for Oriented Object Detection
by: Zhu, Yunhui, et al.
Published: (2025)

EFCNet: Every Feature Counts for Small Medical Object Segmentation
by: Kong, Lingjie, et al.
Published: (2024)

MOODv2: Masked Image Modeling for Out-of-Distribution Detection
by: Li, Jingyao, et al.
Published: (2024)

Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
by: de Jorge, Pau, et al.
Published: (2024)

Highlight Every Step: Knowledge Distillation via Collaborative Teaching
by: Zhao, Haoran, et al.
Published: (2019)

Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation
by: Jiang, Xixi, et al.
Published: (2024)

Training-Free Out-Of-Distribution Segmentation With Foundation Models
by: Nayal, Laith, et al.
Published: (2025)

Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
by: He, Zhixia, et al.
Published: (2025)

Does YOLO Really Need to See Every Training Image in Every Epoch?
by: Xie, Xingxing, et al.
Published: (2026)

Ego3DT: Tracking Every 3D Object in Ego-centric Videos
by: Hao, Shengyu, et al.
Published: (2024)

OT-Drive: Out-of-Distribution Off-Road Traversable Area Segmentation via Optimal Transport
by: Zhao, Zhihua, et al.
Published: (2026)

Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
by: Marschall, Samuel, et al.
Published: (2024)

DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors
by: Wu, Yanqi, et al.
Published: (2026)

Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection
by: Jia, Mingda, et al.
Published: (2024)

STONE: A Submodular Optimization Framework for Active 3D Object Detection
by: Mao, Ruiyu, et al.
Published: (2024)

Every Subtlety Counts: Fine-grained Person Independence Micro-Action Recognition via Distributionally Robust Optimization
by: Cui, Feng-Qi, et al.
Published: (2025)

Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
by: Maag, Kira, et al.
Published: (2022)

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
by: Isaac-Medina, Brian K. S., et al.
Published: (2025)

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection
by: Wu, Yanqi, et al.
Published: (2026)

E-SAM: Training-Free Segment Every Entity Model
by: Zhang, Weiming, et al.
Published: (2025)

Relative Energy Learning for LiDAR Out-of-Distribution Detection
by: Li, Zizhao, et al.
Published: (2025)

Panoramic Out-of-Distribution Segmentation
by: Duan, Mengfei, et al.
Published: (2025)

Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
by: Zhao, Shizhen, et al.
Published: (2025)

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks
by: Jaus, Alexander, et al.
Published: (2024)

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
by: Zhou, Zhi, et al.
Published: (2024)

Towards Few-shot Out-of-Distribution Detection
by: Dong, Jiuqing, et al.
Published: (2023)

SAM2MOT: A Novel Paradigm of Multi-Object Tracking by Segmentation
by: Jiang, Junjie, et al.
Published: (2025)

Adaptive Label Smoothing for Out-of-Distribution Detection
by: Xu, Mingle, et al.
Published: (2024)

RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
by: Zhang, Bin, et al.
Published: (2025)