Cryptocurrency markets have already reacted to the announcement of 'Agentic Object Detection' last Thursday. Here's what it might impact next.
Forward-looking sonar object ... image size to 640 × 640, the backbone network performs convolution operations to obtain feature information with different sizes, the Neck unit fuses multi-scale ...
achieving state-of-the-art results in object detection by capturing long-range dependencies in images. SSD is a one-stage object detection model that discretizes the output space of bounding boxes ...
This seriously limits the application of these advanced detection algorithms in remote sensing object detection. How to apply horizontal detection in remote sensing images has important research ...
This project is an implementation of the Detection Transformer (DETR) for state-of-the-art object detection using the well-known Transformer architecture. Using this project you can easily fine-tune ...
A computer vision project aiming to assist visually impaired individuals with features like traffic detection in Indian scenarios, face emotion analysis, face recognition, number plate blurring, and ...
When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, fiducial markers are the guides that help them move, detect objects and ...
来自MSN28 天
Neural networks model improves machine vision and object detection under low-light conditionsMore information: Rafael Berral-Soler et al, DeepArUco++: Improved detection of square fiducial markers in challenging lighting conditions, Image and Vision Computing (2024). DOI: 10.1016/j.imavis ...
一些您可能无法访问的结果已被隐去。
显示无法访问的结果