Analytics Insight

Best Books to Master Computer Vision and Deep Learning in 2025

Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...
IEEE

Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks

Abstract: We propose a deep Convolutional Neural Network (CNN) for land cover mapping in remote sensing images, with a focus on urban areas. In remote sensing, class imbalance represents often a ...
IEEE

Federated Learning Model Using CBDPL for Medical Image Segmentation

Abstract: Federated learning (FL) allows hospitals and medical centers to train models without sharing patient data. Instead of sending data to a central server, each institution trains the model ...
GitHub

image-segmentation

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image ...