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

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks arXiv:2606.01947v1 Announce Type: new Abstract: 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 significant advancements, limited research has explored parame