Evaluate, test, and improve a deep learning computer vision pipeline for semantic segmentation through visual prompting.

Follow up of this work: https://www.ijcai.org/proceedings/2024/1000

Other related works:

• http://arxiv.org/abs/2410.06964
• http://arxiv.org/abs/2408.00714
• http://arxiv.org/abs/2508.10104

Tech stack used:

• Python/PyTorch
• Hydra/OmegaConf for configuration management
• IBM LSF Cluster for job submission
• Weights & Biases for experiment tracking