Abstract: Open-world class-agnostic object detection aims to localize all objects in images regardless of whether their categories are known during training. Most existing studies focus on unannotated ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

Abstract: Underwater object detection is of great significance for various applications in underwater scenes. However, class imbalance issue is still an unsolved bottleneck for current underwater ...

Ruby Box is an experimental feature that provides separate spaces in a Ruby process to isolate application code, libraries, and monkey patches.

Abstract. Deep learning-based hyperspectral image (HSI) classification and object detection techniques have gained significant attention due to their vital role in image content analysis, ...

Python in drive-thru lane, a sock-eating dog, a free-speech advocate silenced and more make columnist David Allen’s annual IE ...

When Sam Darnold threw his second interception Thursday night, there was no reason to believe the Seattle Seahawks could come back. The Los Angeles Rams had clearly been the better team. Darnold was ...