This project evaluates how well Mesa currently supports building agent models based on established behavioral theories. The suggested approach is hands-on: implement example models, document what ...
Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...
Abstract: In recent years, object detection utilizing both visible (RGB) and thermal infrared (IR) imagery has garnered extensive attention and has been widely implemented across a diverse array of ...
Abstract: Traffic Salient Object Detection (TSOD) aims to segment the objects critical to driving safety by combining semantic (e.g., collision risks) and visual saliency. Unlike SOD in natural scene ...
This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...
After a streak of high-profile crossover announcements, from 'X-Files' to 'Power Rangers', here's everything that's currently in development for Lego's crowd-supported line of sets. Reading time 4 ...
The mystery object that struck a plane at 36,000 feet is likely not space debris, as some speculated, but rather a Silicon Valley test project gone wrong. On Oct. 16, United flight 1093 took off from ...
Turn ordinary items into animated stars! Learn fun and simple stop-motion techniques that anyone can master, from setup to final frame. #StopMotion #AnimationProjects #CreativeFun #DIYAnimation ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
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