#R-CNN

Explore a vast repository of papers focused on deep learning methods for object detection. This continually updated resource includes the latest research from major conferences like CVPR, ICCV, and NeurIPS, offering perspectives on the development of deep learning object detection. Review detailed performance tables and identify key articles for researchers and enthusiasts. Learn about significant breakthroughs such as R-CNN, YOLO, and Faster R-CNN for the latest advances in object detection.

Explore an extensive compilation of essential articles and resources on object detection, highlighting influential models such as R-CNN, YOLO, and SSD. This collection spans advancements from 2013 to 2019, providing insights into deep learning developments in object detection through papers, code, and comprehensive surveys. Examine subjects like real-time object detection, zero-shot detection, and weakly supervised methodologies, offering valuable information for those interested in cutting-edge object detection technologies.