#open-vocabulary-segmentation

#open-vocabulary-segmentation

Uni-OVSeg offers a new method for open-vocabulary segmentation using independent data, improving scalability and performance.

The paper presents a framework for advanced open-vocabulary segmentation in computer vision.

The article presents the Uni-OVSeg framework for efficient open-vocabulary segmentation, improving segmentation performance and interpretability.

The Uni-OVSeg framework reduces the need for extensive annotations, enhancing open-vocabulary segmentation and expanding application potential in various fields.

Uni-OVSeg framework improves weakly-supervised segmentation by using fewer labor-intensive resources while achieving superior performance.

Uni-OVSeg framework employs CLIP model for effective weakly-supervised open-vocabulary segmentation, bridging gaps between image and pixel-level understanding.