Camera-Aware Jaccard Distance for Reliable Person Re-Identification
The core message of this paper is to propose a novel camera-aware Jaccard (CA-Jaccard) distance metric that leverages camera information to enhance the reliability of Jaccard distance for person re-identification tasks.
Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change
The core message of this paper is to propose a novel silhouette-driven contrastive learning framework, termed SiCL, for unsupervised long-term person re-identification with clothes change. SiCL incorporates both person silhouette information and hierarchical neighbor structure into a contrastive learning framework to guide the model for learning cross-clothes invariance features.
Multimodal Large Language Model-based Person Re-identification: Leveraging Common Instructions and Latent Image Features for Enhanced Performance
This paper proposes MLLMReID, a novel approach that leverages multimodal large language models (MLLM) for person re-identification (ReID) tasks. It introduces Common Instruction to simplify the instruction design process and avoid overfitting, and DirectReID to effectively utilize the latent image feature vectors output by the LLM, directly optimizing the visual encoder for improved person feature extraction.
Robust Ensemble Person Re-Identification with Orthogonal Fusion and Occlusion Handling
A deep ensemble learning framework that leverages both CNN and Transformer architectures to generate robust feature representations for occluded person re-identification.
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification
Die Einführung von Spatial Cascaded Clustering und Weighted Memory verbessert die Genauigkeit und Effektivität von partbasierten Methoden für die unüberwachte Personenerkennung.
