May 2024

Continual Learning in Medical Imaging: A Survey and Practical Analysis

arXiv · May 22 · Research Healthcare

This survey paper reviews recent literature on continual learning in medical imaging, addressing challenges like catastrophic forgetting and distribution shifts. It covers classification, segmentation, detection, and other tasks, while providing a taxonomy of studies and identifying challenges. The authors also maintain a GitHub repository to keep the survey up-to-date with the latest research.

How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs

arXiv · May 6 · CV LLM

Researchers from MBZUAI have introduced the Complex Video Reasoning and Robustness Evaluation Suite (CVRR-ES) for assessing Video-LLMs. The benchmark evaluates models across 11 real-world video dimensions, revealing challenges in robustness and reasoning, particularly for open-source models. A training-free Dual-Step Contextual Prompting (DSCP) technique is proposed to enhance Video-LMM performance, with the dataset and code made publicly available.

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks

arXiv · May 5 · CV Healthcare