Enhancing Fisheye Object Detection Using Frequency-Domain Attention and Dual Aggregation Transformer
Abstract: This paper presents a comprehensive evaluation of multiple YOLO (You Only Look Once) model variants for object detection in fisheye lens images, specifically utilizing the FishEye8K dataset.
Astronomers have been fascinated after spotting an object earlier this year that came from interstellar space as is now hurtling through our inner solar system. Regardless, it’s an interesting visitor ...
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 ...
A metamaterial is a composite material that exhibits unique properties due to its structure, and now researchers have used one featuring a small sawtooth pattern on its surface to move and position ...
A team of researchers from Keio University School of Medicine, Kyoto Prefectural University of Medicine, and Teikyo University, in collaboration with Atopiyo LLC, has developed a novel artificial ...
Abstract: Foreign object detection (FOD) in railway catenary systems is crucial for ensuring operational safety and preventing catastrophic failures. However, current detection frameworks encounter ...
Description: I have created a machine learning model for object detection using ML.net Model Builder (MLModel1.zip). The model was successfully tested using the automatically generated project by ...
SAN DIEGO--(BUSINESS WIRE)--VeeamON--Object First, the provider of Ootbi (Out-of-the-Box-Immutability), the ransomware-proof backup storage appliance purpose-built for Veeam ®, today announced a new ...
Roblox announced Monday that it’s launching the first iteration of its 3D model, dubbed “Cube,” to allow creators to create 3D objects using generative AI. The company also launched an open source ...
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