Tag: Object Detection
All the talks with the tag "Object Detection".
Faster R-CNN - Towards Real-Time Object Detection with Region Proposal Network
Sagar Prakash BaradPublished: at 07:30 PMIn this talk, we discuss Faster R-CNN, a unified end-to-end object detection network that significantly improved object detection by introducing the concept of a Region Proposal Network (RPN). The key idea behind it was to use the RPN to generate region proposals, which are essentially potential bounding boxes containing objects of interest, and the model then uses these initial proposals for further classification and refinement of the bounding boxes.
End-to-end Object Detection with Transformers
Rucha Bhalchandra JoshiPublished: at 02:00 PMThis talk presents DETR, a new method for object detection that streamlines the pipeline by removing the need for components like non-maximum suppression and anchor generation.
You Only Look Once - Unified, Real-Time Object Detection
Aritra MukhopadhayaPublished: at 02:00 PMThis talk discusses YOLO, a groundbreaking method for object detection. YOLO revolutionizes object detection with real-time processing, using a single network for bounding box and class probability predictions, excelling in speed and domain generalization.
End-to-end Object Detection with Transformers
Rucha Bhalchandra JoshiPublished: at 02:00 PMThis talk presents DETR, a new method for object detection that streamlines the pipeline by removing the need for components like non-maximum suppression and anchor generation.
Near Real-Time Incremental Learning for Object Detection at the Edge
Jyotirmaya ShivottamPublished: at 07:00 PMIn this talk, we will discuss a paper about real-time Incremental Learning of new object classes for object detection at the edge.