Abstract: To address the separation of mineral semantic segmentation and foreign object detection in coal mine conveyor belt detection, and the inability of traditional single-task models to balance ...

cnos25 follows the CNOS propose-then-match pipeline. It uses YOLOE as the proposal model and dinov3 descriptors for matching. Besides result reproduction, this repo might provide some useful code for ...

According to AI at Meta, SAM 3 is a newly launched unified AI model that enables detection, segmentation, and tracking of objects across both images and videos. This next-generation model introduces ...

According to @AIatMeta, Meta has launched SAM 3, a unified AI model capable of object detection, segmentation, and tracking across both images and videos. SAM 3 introduces new features such as text ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...

This project provides a Python-based toolkit for tracking and analyzing the actuation of cantilever beams from video data. It leverages OpenCV and scientific Python libraries to extract quantitative ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Correlative imaging is a powerful analytical approach in bioimaging, as it offers ...

Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts 02215, ...

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 ...

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 ...