Abstract: Open world object detection (OWOD) aims to identify both known instances of trained classes and unknown ones. Despite recent advancements, existing methods exhibit a detection bias towards ...
Abstract: Machine vision-based anti-drone detection systems enable long-range, cost-effective target monitoring in complex environments. However, small drones typically occupy only a few pixels in ...
Online safety advocates hope landmark trial verdicts this week can bring change to social media platforms they have warned about for years, after juries found Meta (and YouTube in one case) ...
Abstract: In recent years, Object detection and tracking has emerged as a key enabler for intelligent automation in the application domains including surveillance, autonomous driving, smart farming, ...
This story is the final part of CNN's As Equals series on gender inequality. For information about how the series was funded and more, check out our FAQs. The world was confronted by this form of ...
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: The aim of camouflaged object detection (COD) is to discern concealed objects within the background. Due to issues such as high similarity to the surrounding environment, small size, ...
RF-DETR is a real-time, transformer-based object detection and instance segmentation model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time ...
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