GitHub

️ DLF-Detect: Boosting Object Detection Performance in Foggy Days by Unsupervised Image Restoration

This work presents a novel Dual-stream Learning Framework (DLF) that incorporates a Zero-referenced Image Dehazing subnet (ZIDnet) into a SOTA detector. By designing image restoration losses based on ...
VentureBeat

Overview of deep learning architectures computers use to detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
EurekAlert!

AI that uses sketches to detect objects within an image could boost tumour detection, and search for rare bird species

Teaching machine learning tools to detect specific objects in a specific image and discount others is a “game-changer” that could lead to advancements in cancer detection, according to leading ...
IEEE

Object Detection using Ryze Tello Drone with Help of Mask-RCNN

Abstract: Now a days UNMANNED AERIAL VEHICLES incorporating image / video segmentation and object detection methods in them for various applications such as reconnaissance, surveillance, tracking, ...
IEEE

Automatic object detection using objectness measure

Abstract: Object detection is an important step towards object recognition. A robust object detection system is one that can detect an object of any class. In this paper, we present a fully automatic ...