Abstract: With the rise of autonomous driving, LiDAR-based object detection using deep neural networks (DNNs) has shown exceptional performance. However, DNNs are vulnerable to adversarial attacks, ...
Abstract: Camouflaged object detection (COD) aims to discover objects that are seamlessly embedded in the environment. Existing COD methods have made significant progress by typically representing ...
This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
Mushease is an AI-powered Android application that uses TensorFlow Lite to detect and analyze diseases in oyster mushrooms. The app provides instant health assessment, disease identification, and ...
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