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Found 6 papers, 2 papers with code
DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt
Extensive experiments across five benchmarks on two representative LVLMs demonstrate that DAVSP effectively resists malicious queries while preserving benign input utility.
Visual Adversarial Attack on Vision-Language Models for Autonomous Driving
To this end, we propose ADvLM, the first visual adversarial attack framework specifically designed for VLMs in AD.
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
We introduce DA-Code, a code generation benchmark specifically designed to assess LLMs on agent-based data science tasks.
PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery
The field of computer vision applied to videos of minimally invasive surgery is ever-growing.
SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery
This assessment uses benchmarking metrics that were purposely developed for this challenge, to verify the efficacy of unsupervised deep learning algorithms in tracking soft-tissue.
Retrieval of surgical phase transitions using reinforcement learning
In minimally invasive surgery, surgical workflow segmentation from video analysis is a well studied topic.
