Advanced Open-Vocabulary Segmentation with Uni-OVSeg | HackerNoon
Briefly

The proposed Uni-OVSeg framework utilizes a ConvNext-based CLIP model architecture to enhance image and text encoding efficiency, demonstrating improved performance in visual segmentation tasks.
Our experimentation reveals that the implementation of multi-scale features through the ConvNext encoder significantly boosts segmentation accuracy, showcasing the importance of diverse feature representations in computer vision.
Read at Hackernoon
[
|
]