Channel-shuffled transformers for cross-modality person re-identification in video
Abstract Effective implementation of person re-identification (Re-ID) across different modalities (such as daylight vs night-vision) is crucial for Surveillance applications. Information from multiple frames is essential for effective re-identification, where visual components from individual frames...
Saved in:
| Main Authors: | Rangwan Kasantikul, Worapan Kusakunniran, Qiang Wu, Zhiyong Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00063-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ACFM: Adaptive Channel Feature Matching for Pedestrian Re-Identification
by: Zhengcai Lu, et al.
Published: (2025-01-01) -
Towards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification
by: Daria Kern, et al.
Published: (2024-12-01) -
A Review on Person Re-Identification Techniques and Its Analysis
by: C. Selvan, et al.
Published: (2025-01-01) -
Multi-granularity feature intersection learning for visible-infrared person re-identification
by: Sixian Chan, et al.
Published: (2025-05-01) -
A Video SAR Multi-Target Tracking Algorithm Based on Re-Identification Features and Multi-Stage Data Association
by: Anxi Yu, et al.
Published: (2025-03-01)