Everything changes with time. Some changes happen so rapidly — like 7 frames or more per second — that we perceive them as ...
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 ...
2 Methodology 2.1 Overall framework design YOLO11 (Khanam and Hussain, 2024, preprint) is a new generation of object detection algorithm developed by Ultralytics based on the YOLOv8 architecture. It ...
Abstract: The performance of existing object detection algorithms significantly degrades when applied to low-resolution infrared (IR) images captured by unmanned aerial vehicles (UAVs), which suffers ...
We use Python 3.8, PyTorch 1.13.1 (CUDA 11.7 build). The codebase is built on Detectron. conda create -n wsco python=3.8 Conda activate wsco conda install pytorch==1.12.1 torchvision==0.13.1 ...
They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of their ...
Abstract: Despite significant advances in object detection methods for traffic scenes, object detection under adverse weather conditions is still a challenging task. Especially in foggy weather, the ...
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