Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks

Research and applications in artificial intelligence have recently shifted with the rise of large pretrained models, which deliver state-of-the-art results across numerous tasks. However, the substantial increase in parameters introduces a need for parameter-efficient training strategies. Despite si...