robust models
AI systems designed to maintain performance under a variety of conditions, including noise, data variability, and adversarial attacks, critical for real-world applications.
- DermaCon-IN: A Multiconcept-Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research
- Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
- OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels
- PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?
- VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations
- Vision Function Layer in Multimodal LLMs