Traditional object detection methods typically involve steps such as feature extraction, object classification, and position regression on images.

Faster R-CNN, introduced in 2016, solves the final piece of the object-detection puzzle by integrating the region extraction mechanism into the object detection network.

This innovative method, detailed in the study "Few-shot Object Detection via Dual-domain Feature Fusion and Patch-level Attention," published in Tsinghua Science and Technology, brings new idea to ...