ReLA
Explore state-of-the-art techniques in generalized referring expression segmentation for precise object identification in complex visual environments. Utilizing models like ResNet-50 and Swin-Tiny with technologies such as Detectron2, this project offers enhanced segmentation accuracy. Gain insights into comprehensive configurations and leverage large-scale datasets to advance video segmentation outcomes. Stay informed on recent updates in this dynamic area for optimal performance in referring expression tasks.
