For computer vision, one of the most challenging functions is camouflage object detection (COD), the ability ... the tasks of recognizing and analyzing camouflaged objects in a wider range of ...

Abstract: We consider the problem of referring camouflaged object detection (Ref-COD), a new task that aims to segment specified camouflaged objects based on a small set of referring images with ...

Abstract: Recently, diffusion models have significantly improved the performance of Camouflaged Object Detection (COD) by adding noise to a mask and iteratively denoising it to match the target ...

Unlocking the hidden: groundbreaking techniques in camouflaged object detection promise unprecedented accuracy in real-world applications, from medical imaging to wildlife conservation.

The hyperspectral sensor key is algorithm-based signal processing for reasonable detection without triggering too many ... with those in surrounding locations, as an example, camouflaged objects can ...

Unlocking the hidden: groundbreaking techniques in camouflaged object detection promise unprecedented accuracy in real-world applications, from medical imaging to wildlife conservation. Potential ...

This paper explores the adaptation of the DiffCOD (Diffusion Camouflaged Object Detection) model for tumor detection in brain MRI images. The framework leverages diffusion models to identify tumor ...

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YOLO-Jevois enables open-vocabulary object detection at runtime on the Amlogic A331D-based Jevois Pro AI camera, no dataset or training needed ...

Collaboration can be a beautiful thing, especially when people work together to create something new. Take, for example, a ...