A research team has developed autonomous driving software that allows inexpensive sensors to detect transparent obstacles ...

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 ...

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 ...

Discussion: DiCANet tackles the challenge of identifying camouflaged objects in noisy environments with its two-stage restoration and cascaded detection approach. This innovative architecture ...

Find the perfectly camouflaged animals in all of these photos ... Many insects use camouflage to mimic objects or animals. Many species of caterpillar in the family Geometridae use camouflage ...

Camouflaged Object Detection (COD) is a challenging visual task due to its complex contour, diverse scales, and high similarity to the background. Existing COD methods encounter two predicaments: One ...

You can edit the script to change the parameters you want to test. @article{chen2023camodiffusion, title={CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models}, author={Chen, ...

Abstract: Camouflaged object detection (COD) is an emerging visual detection task, which aims to locate and distinguish the disguised target in complex backgrounds by imitating the human visual ...

Camouflaged objects are difficult to detect, for both humans and artificial intelligence. But now an AI has been trained to parse objects from their backgrounds. This could have a variety of ...