Copertina

What really matters for person re-identification? A Mixture-of-Experts Framework for Semantic Attribute Importance

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Psalta, Athena, Tsironis, Vasileios, Karantzalos, Konstantinos
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Transformer-based assignment decision network for multiple object tracking
di: Psalta, Athena, et al.
Pubblicazione: (2022)

Addressing single object tracking in satellite imagery through prompt-engineered solutions
di: Psalta, Athena, et al.
Pubblicazione: (2024)

Naiad: Novel Agentic Intelligent Autonomous System for Inland Water Monitoring
di: Baltzi, Eirini, et al.
Pubblicazione: (2025)

Cerberus: Attribute-based person re-identification using semantic IDs
di: Eom, Chanho, et al.
Pubblicazione: (2024)

SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
di: Kakogeorgiou, Ioannis, et al.
Pubblicazione: (2023)

What does really matter in image goal navigation?
di: Monaci, Gianluca, et al.
Pubblicazione: (2025)

TRACE: Transformer-based Risk Assessment for Clinical Evaluation
di: Christopoulos, Dionysis, et al.
Pubblicazione: (2024)

Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination
di: Che, Quang-Huy, et al.
Pubblicazione: (2024)

A vision-based framework for human behavior understanding in industrial assembly lines
di: Papoutsakis, Konstantinos, et al.
Pubblicazione: (2024)

An Integrated Framework for Multi-Granular Explanation of Video Summarization
di: Tsigos, Konstantinos, et al.
Pubblicazione: (2024)

EVA: Mixture-of-Experts Semantic Variant Alignment for Compositional Zero-Shot Learning
di: Zhang, Xiao, et al.
Pubblicazione: (2025)

Composed Image Retrieval for Training-Free Domain Conversion
di: Efthymiadis, Nikos, et al.
Pubblicazione: (2024)

Composed Image Retrieval for Remote Sensing
di: Psomas, Bill, et al.
Pubblicazione: (2024)

Mixture of Experts in Image Classification: What's the Sweet Spot?
di: Videau, Mathurin, et al.
Pubblicazione: (2024)

Spatio-Semantic Expert Routing Architecture with Mixture-of-Experts for Referring Image Segmentation
di: Dalaq, Alaa, et al.
Pubblicazione: (2026)

A Quality-Guided Mixture of Score-Fusion Experts Framework for Human Recognition
di: Zhu, Jie, et al.
Pubblicazione: (2025)

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance
di: Shaik, Anees Nashath, et al.
Pubblicazione: (2025)

MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
di: Triaridis, Kostas, et al.
Pubblicazione: (2023)

Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation
di: Pavlitska, Svetlana, et al.
Pubblicazione: (2025)

Neural Experts: Mixture of Experts for Implicit Neural Representations
di: Ben-Shabat, Yizhak, et al.
Pubblicazione: (2024)

MILE: Mixture of Incremental LoRA Experts for Continual Semantic Segmentation across Domains and Modalities
di: Muralidhara, Shishir, et al.
Pubblicazione: (2026)

Skin Lesion Phenotyping via Nested Multi-modal Contrastive Learning
di: Christopoulos, Dionysis, et al.
Pubblicazione: (2025)

Disentangle Before Anonymize: A Two-stage Framework for Attribute-preserved and Occlusion-robust De-identification
di: Zhu, Mingrui, et al.
Pubblicazione: (2023)

TenExp: Mixture-of-Experts-Based Tensor Decomposition Structure Search Framework
di: Zhou, Ting-Wei, et al.
Pubblicazione: (2026)

Mixture-of-Experts in Remote Sensing: A Survey
di: Cui, Yongchuan, et al.
Pubblicazione: (2026)

Rethinking Cross-Domain Evaluation for Face Forgery Detection with Semantic Fine-grained Alignment and Mixture-of-Experts
di: Luo, Yuhan, et al.
Pubblicazione: (2026)

FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain Decoding
di: Ren, Yudan, et al.
Pubblicazione: (2026)

FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
di: Sdraka, Maria, et al.
Pubblicazione: (2023)

A Unified Deep Semantic Expansion Framework for Domain-Generalized Person Re-identification
di: Ang, Eugene P. W., et al.
Pubblicazione: (2024)

Point-MoE: Large-Scale Multi-Dataset Training with Mixture-of-Experts for 3D Semantic Segmentation
di: Chen, Xuweiyi, et al.
Pubblicazione: (2025)

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction
di: Wang, Huayi, et al.
Pubblicazione: (2026)

Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
di: Psomas, Bill, et al.
Pubblicazione: (2025)

Benchmarking Composed Image Retrieval for Applied Earth Observation
di: Psomas, Bill, et al.
Pubblicazione: (2026)

Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation
di: Pavlitska, Svetlana, et al.
Pubblicazione: (2024)

Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation
di: Pavlitska, Svetlana, et al.
Pubblicazione: (2026)

Dynamic Mixture-of-Experts for Visual Autoregressive Model
di: Vincenti, Jort, et al.
Pubblicazione: (2025)

Frequency-Adaptive Pan-Sharpening with Mixture of Experts
di: He, Xuanhua, et al.
Pubblicazione: (2024)

Mixture of Style Experts for Diverse Image Stylization
di: Zhu, Shihao, et al.
Pubblicazione: (2026)

CORE-ReID: Comprehensive Optimization and Refinement through Ensemble fusion in Domain Adaptation for person re-identification
di: Nguyen, Trinh Quoc, et al.
Pubblicazione: (2025)

YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection
di: Meiraz, Ori, et al.
Pubblicazione: (2025)