Deep learning is providing exciting solutions for visual recognition problems and is seen as a key method for future applications. This course is a deep dive into the state-of-the-art algorithms in the CNN architectures, image classification, object detection and segmentation. Medical imaging analysis, as a unique application of computer vision to provide computer-aided analysis, will also be covered. The course will be beneficial to students interested in understanding the massive amount of literature in computer vision and deep learning.
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.
- Aggregated Residual Transformations for Deep Neural Networks.
Presentation.pptx - Powerpoint Presentation that I used to host a discussion while summarizing on the techniques discussed in the topic above.