Linear discriminant analysis (LDA) is a widely used technique for supervised feature extraction and dimensionality reduction. LDA determines an optimal discriminant space for linear data projection ...

The performance of your neural net will be judged using the mAP criterium defined in the PASCAL VOC 2012 competition. We simply adapted the official Matlab code into Python (in our tests they both ...

YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data ...

Event cameras have attracted increasing attention in the field of computer vision due to their advantages in terms of high temporal resolution, high dynamic range and low power consumption. However, ...

Yikes—if you haven't seen this in a while, prepare to be disappointed. By '83, the Pythons' pioneering madcap humour had descended into reliance on pointless shock tactics. It may be bold, but ...