IntelliSegment
Published by
IEEE
Summary
Developed an object detection and segmentation system achieving low segmentation errors (MAE: 0.051 on PASCAL-S, 0.030 on ECSSD), outperforming benchmarks using Meta SAM2 for precise boundaries, YOLO-NAS for real-time performance, and CLIP for semantic consistency, demonstrating the effectiveness of strategic model fusion.