FPS (V100, b=1): 36box AP: 56.8
Papers with Code · CC BY-SA 4.0
Real-Time Object Detection
Real-Time Object Detection is a computer vision task that involves identifying and locating objects of interest in real-time video sequences with fast inference while maintaining a base level of accuracy.
This is typically solved using algorithms that combine object detection and tracking techniques to accurately detect and track objects in real-time. They use a combination of feature extraction, object proposal generation, and classification to detect and localize objects of interest.
<span style="color:grey; opacity: 0.6">( Image credit: CenterNet )</span>
논문
FPS (V100, b=1): 78 (T4)box AP: 59.3
AP: 21.06
FPS (V100, b=1): 78 (T4)
FPS (V100, b=1): 40 (T4)box AP: 56.3
box AP: 55.6
AP: 41.1
FPS (V100, b=1): 124 (T4)box AP: 57.1
sAP: 42.3
FPS: 7.0MAP: 73.2
box AP: 45.2
FPS (V100, b=1): 31box AP: 56.9
sAP: 42.3
FPS (V100, b=1): 85 (T4)box AP: 55.2
FPS (V100, b=1): 26box AP: 57.2
FPS (V100, b=1): 30box AP: 55.4