Abstract: Aerial object detection plays a vital role in applications such as natural disaster prevention and urban traffic management, thanks to its ability to handle wide coverage areas and diverse ...
Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...
The repo is the official implementation of "X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion". X-Paste is built upon Copy-Paste to train the instance ...
With an iOS app cars and phones can be detected on Anki Overdrive tracks. When an obstacle (phone) is detected, the cars stop. This project contains a trained TensorFlow Object Detection model based ...