Deep Learning in Image and Video Applications

Computer Vision has a long history of industries, and recent advances in deep learning have provided significant improvements in the ability to understand visual content. As a result of these research advances on problems such as object classification, object detection, and image segmentation, there has been a rapid increase in the adoption of Computer Vision in industry. This workshop aims to present different ML and DL methods in industrial video and image applications. Also different computer vision categories, namely, object classification, object detection, and image/video segmentation are covered in details from A to Z with practical examples. 

The workshop discussions will establish close connections between researchers in machine learning and computer vision communities and engineers in industry, and to benefit both academic researchers as well as industrial practitioners. At the end, the workshop aims to discuss the next steps in developing efficient feature representations from three aspects: energy efficient, label efficient, and sample efficient.