The core technology of this patent involves segmenting the image to be encoded into foreground and background images, ...

The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding ...

The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

A semantic segmentation network DeeplabV3+ is used to locate the water gauge in the surveillance image and to crop it. Then, the water-gauge image is divided into multiple regions by binaryzation and ...

This SA-1B is a semantic segmentation dataset that classifies every pixel in an image, making it easier to stylize or remove objects from photos.

Image semantic segmentation is ubiquitously used in scene understanding applications, such as AI Camera, which require high accuracy and efficiency. Deep learning has significantly advanced the ...

Santa Clara, California, August 26th, 2025, ChainwireAt the ADAS & Autonomous Vehicle Technology Summit North America, ...