A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN
At Athelas, we use Convolutional Neural Networks(CNNs) for a lot more than just classification! In this post, we’ll see how CNNs can be used, with great results, in image instance segmentation. Ever since Alex Krizhevsky, Geoff Hinton, and Ilya Sutskever won ImageNet in 2012, Convolutional Neural Networks(CNNs) have become the gold standard for image classification. In fact, since then, CNNs have
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Convolutional Feature Maps Elements of efficient (and accurate) CNN-based object detection Kaiming He Microsoft Research Asia (MSRA) Overview of this section • Quick introduction to convolutional feature maps • Intuitions: into the “black boxes” • How object detection networks & region proposal networks are designed • Bridging the gap between “hand-engineered” and deep learning systems • Focusing
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