Artsiom S
PhD student in Computer Vision
I will discuss our novel `divide and conquer` approach (CVPR 2019) for deep metric learning, which significantly improves the state-of-the-art performance of metric learning on computer vision tasks
Talk at Heidelberg SIAM chapter (09.07.2019). I will discuss existing approaches to learn the embedding space using Deep Metric Learning (DML) as long as our novel `divide and conquer` approach (CVPR 2019) for deep metric learning, which significantly improves the state-of-the-art performance of metric learning. In the second part of the talk, I will show how deep metric learning approaches can be applied to a real-world problem: Humpback whale identification. Humpback whale identification challenge was hosted at Kaggle platform. More than 2100 teams were challenged to build a computer vision algorithm to identify individual whales in images and release biologists form tedious manual work. I will discuss our solution based on DML which placed us in the Top-10 in the final standings.