Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Abstract: Aiming at the challenges of high intra-class disparity and low inter-class disparity in fine-grained image classification, a multi-branch fine-grained image classification method based on ...

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...

Since the images and masks of the original Drone Images are very large (3.8K to 4.4K pixels width), we adopted the following Divide-and-Conquer Strategy for building our segmentation model. 1. Tiled ...

'Anytime you catch something bigger than 14 feet, it’s not a snake anymore, it’s a monster,' said Donna Kalil, a licensed Florida python hunter. Mike Kimmel goes by the social media moniker Python ...

As shown below, the inferred masks predicted by our segmentation model trained on the PNG dataset appear similar to the ground truth masks. If you would like to train ...

The robots mimic the movements and body temperature of real rabbits, a favored prey of pythons. The project is funded by the South Florida Water Management District and builds upon previous research ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

Introduction: Breast cancer (BC) is a malignant neoplasm that originates in the mammary gland’s cellular structures and remains one of the most prevalent cancers among women, ranking second in ...

Introduction: The accurate and timely diagnosis of skin diseases is a critical concern, as many skin diseases exhibit similar symptoms in the early stages. Most existing automated ...