arXiv (All)
open access
DiffReID: Discriminative Diffusion Model for Object Re-Identification
As a fundamental image processing task, object Re-Identification (ReID) aims to retrieve objects across non-overlapping cameras. Recently, with the development of deep learning, significant advancements have been made in object ReID. However, most existing methods suffer from generalization due to t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Generative AI Integrated Multimodal Framework for Low-Latency Multi-Camera Person Re-Identification#1083856
- SGG: Spacetime Gaussian Grouping for 4D object segmentation#254137
- Learning Transformation-Isomorphic Latent Space for Accurate Hand Pose Estimation#1049619
- Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection#1070663
- Persistence Forcing: Exploiting Feature Specialization in Pixel-Space Diffusion#1130856
Record · ID 1132095
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive