Spatiotemporal uncertainty guided non maximum suppression for video event detection
Abstract In recent years, several research hotspots have emerged, including autonomous driving, intelligent surveillance, microscopic video analysis, and so on. Since detecting events in video streams is one of the core requirements for these applications, Video Event Detection (VED) has received in...
Saved in:
| Main Authors: | Fengqian Pang, Chunyue Lei, Yunjian He, Hongfei Zhao, Zhiqiang Xing |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-96188-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Non-Maximum Suppression for Rotated Object Detection During Merging Slices of High-Resolution Images
by: Lei Ge, et al.
Published: (2024-01-01) -
Indoor mmWave Radar Ghost Suppression: Trajectory-Guided Spatiotemporal Point Cloud Learning
by: Ruizhi Liu, et al.
Published: (2025-05-01) -
Enhancing Object Detection in Dense Images: Adjustable Non-Maximum Suppression for Single-Class Detection
by: Kyeongmi Noh, et al.
Published: (2024-01-01) -
NMS-KSD: Efficient Knowledge Distillation for Dense Object Detection via Non-Maximum Suppression and Feature Storage
by: Suho Son, et al.
Published: (2025-01-01) -
Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression
by: Yajnaseni Dash, et al.
Published: (2025-02-01)