As AI models produce increasingly lifelike images, these simple checks can help you distinguish between reality and digital ...
University of Houston researchers developed a new X-ray imaging method capable of revealing hidden features in a single shot, ...
Abstract: Neural networks, particularly convolutional neural networks, have proven effective in medical image analysis tasks such as classification (for example, identifying possible diseases), ...
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 ...
Abstract: Semantic change detection (SCD) in high-resolution (HR) remote sensing images faces two issues: 1) isolated network for binary change detection (BCD) within multitask architecture result in ...
野生动物检测作为目标检测在特定领域的应用,面临着独特的挑战和特征需求。与常规目标检测相比 ...