Abstract: Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distinguishability ...
Abstract: We propose a fully convolutional one-stage object detector (FCOS) to solve object detection in a per-pixel prediction fashion, analogue to semantic segmentation. Almost all state-of-the-art ...
This repository contains a Python script for real-time object detection using YOLOv8 with a webcam. The script captures live video from the webcam or Intel RealSense Computer Vision, detects objects ...
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