50+ days of Machine Learning

 Hello :)  Today is day 41! Summary of today Review some computer vision concepts that are labeled as advanced - image segmentation Saliency/class activation maps (CAMs) To begin with - image segmentation, aka the process of partitioning an image into multiple segments or regions based on certain characteristics such as color, intensity, texture, or semantic information with the goal of simplifying the image for potentially better analysis.  Some popular models are - SegNet, UNet, Fully convolutional network (FCNs). SegNets are a DL architecture for semantic segmentation that uses an encoder-decoder structure with pooling for efficient pixel-wise classification. It's known for its ability to produce accurate segmentation maps while being computationally efficient. like the others, it first encodes a picture (learns its details) and then a decoder is used that takes the high-level pixels and reconstructs the image into different 'segments'. Another one - which I learned abou