Since generative AI began to garner public interest, the computer vision research field has deepened its interest in ...

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image ...

Computer vision—the ability to recognize images—has many business applications. Computer vision can better identify areas of concern in the livers and brains of cancer patients. This type of machine ...

However, due to the inherent unique optical characteristics and high noise in underwater imagery, existing underwater instance segmentation models struggle to accurately capture the global and local ...

Objects such as bottles and cups were selected ... up new possibilities for applications in augmented reality, robotic vision, and next-generation imaging technologies. This story is part of ...

MambaVision, as the name implies, is a Mamba-based model family for computer vision and ... The gains on complex tasks like object detection and segmentation translate directly to better ...

Abstract: Superpixel segmentation with deep learning has been proposed in recent years and is widely employed to reduce the input image primitives for subsequent computer vision tasks ... to adapt the ...

Abstract: Open-vocabulary semantic segmentation (OVSS) is a challenging computer vision task that labels each pixel within ... In this study, we define OVSS as a denoising diffusion task from noisy to ...