3 citations · 5 across the 3 of their papers we have counts for
3 papers
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang +50
How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified…
Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets
Pratibha Kumari, Priyankar Choudhary, Pradeep K. Atrey +1
Anomaly detection in multimedia datasets is a widely studied area. Yet, the concept drift challenge in data has been ignored or poorly handled by the majority of the anomaly detect…
Multimedia Datasets for Anomaly Detection: A Review
Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini
Multimedia anomaly datasets play a crucial role in automated surveillance. They have a wide range of applications expanding from outlier objects/ situation detection to the detecti…