Cover Image

MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cho, Sungmin, Park, Sungbum, Oh, Insoo
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncertainty-aware Prototype Learning with Variational Inference for Few-shot Point Cloud Segmentation
by: Zhao, Yifei, et al.
Published: (2026)

Small Object Few-shot Segmentation for Vision-based Industrial Inspection
by: Zhang, Zilong, et al.
Published: (2024)

MF-LPR$^2$: Multi-Frame License Plate Image Restoration and Recognition using Optical Flow
by: Na, Kihyun, et al.
Published: (2025)

Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration
by: Park, Juhan, et al.
Published: (2025)

G2L:From Giga-Scale to Cancer-Specific Large-Scale Pathology Foundation Models via Knowledge Distillation
by: Cho, Yesung, et al.
Published: (2025)

Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation
by: Chen, Xinyue, et al.
Published: (2024)

Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2024)

GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
by: Park, Seongheon, et al.
Published: (2025)

Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation
by: Wursthorn, Kira, et al.
Published: (2024)

Uncertainty Quantification in Detection Transformers: Object-Level Calibration and Image-Level Reliability
by: Park, Young-Jin, et al.
Published: (2024)

Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer
by: Kang, Sungmin, et al.
Published: (2024)

Embodied Uncertainty-Aware Object Segmentation
by: Fang, Xiaolin, et al.
Published: (2024)

MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation
by: Kang, Beoungwoo, et al.
Published: (2024)

LEAP:D -- A Novel Prompt-based Approach for Domain-Generalized Aerial Object Detection
by: Park, Chanyeong, et al.
Published: (2024)

COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
by: Humblot-Renaux, Galadrielle, et al.
Published: (2025)

Short-term Object Interaction Anticipation with Disentangled Object Detection @ Ego4D Short Term Object Interaction Anticipation Challenge
by: Cho, Hyunjin, et al.
Published: (2024)

Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection
by: Sun, Yue, et al.
Published: (2025)

CLAY: Conditional Visual Similarity Modulation in Vision-Language Embedding Space
by: Lim, Sohwi, et al.
Published: (2026)

Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
by: Huang, Weikai, et al.
Published: (2025)

Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment
by: Cheng, Zhixin, et al.
Published: (2025)

Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
by: Chen, Junkun, et al.
Published: (2024)

MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection
by: Park, Jun Yeong, et al.
Published: (2026)

Instance-Guided Radar Depth Estimation for 3D Object Detection
by: Lo, Chen-Chou, et al.
Published: (2026)

Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment
by: Shangguan, Zeyu, et al.
Published: (2025)

Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation
by: Feng, Yongchao, et al.
Published: (2025)

Domain Similarity-Perceived Label Assignment for Domain Generalized Underwater Object Detection
by: Li, Xisheng, et al.
Published: (2023)

Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
by: Jung, Min Jae, et al.
Published: (2023)

Cross-aware Early Fusion with Stage-divided Vision and Language Transformer Encoders for Referring Image Segmentation
by: Cho, Yubin, et al.
Published: (2024)

SFUOD: Source-Free Unknown Object Detection
by: Park, Keon-Hee, et al.
Published: (2025)

Objectness Similarity: Capturing Object-Level Fidelity in 3D Scene Evaluation
by: Uchida, Yuiko, et al.
Published: (2025)

Stability Plasticity Decoupled Fine-tuning For Few-shot end-to-end Object Detection
by: Yin, Yuantao, et al.
Published: (2024)

Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps
by: Jang, Jiyun, et al.
Published: (2024)

One-shot In-context Part Segmentation
by: Dai, Zhenqi, et al.
Published: (2025)

Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching
by: Van Nguyen, Phi, et al.
Published: (2025)

Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection
by: Yang, Ziyue, et al.
Published: (2025)

Segment Any 3D Object with Language
by: Lee, Seungjun, et al.
Published: (2024)

On the Adversarial Robustness of Camera-based 3D Object Detection
by: Xie, Shaoyuan, et al.
Published: (2023)

S-LAM3D: Segmentation-Guided Monocular 3D Object Detection via Feature Space Fusion
by: Sas, Diana-Alexandra, et al.
Published: (2025)

Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation
by: Dou, Bin, et al.
Published: (2024)

Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving
by: Yan, Jun, et al.
Published: (2024)