Real-Time Object Detection
81 papers with code • 7 benchmarks • 9 datasets
Real-time object detection is the task of doing object detection in real-time with fast inference while maintaining a base level of accuracy.
( Image credit: CenterNet )
In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals.
Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection.
This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision.