Nermeen Abou Baker
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Vision×1AI×1
Frequent co-authors
Research Timeline
2026
Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks
This paper investigates the application of Parameter-Efficient Fine-Tuning (PEFT) methods, specifically adapters and LoRA, to large pretrained models for instance segmentation, demonstrating that these techniques achieve competitive performance while drastically reducing the number of trainable parameters.
Highlighted terms show continued research focus across papers