Optimizing Small Target Detection Without Resizing
Click on the above “Beginner’s Visual Learning”, select to add Star or “Pinned” Heavyweight content delivered first-hand Introduction Traditional deep learning-based object detection networks often resize images during the data preprocessing stage to achieve a uniform size and scale in the feature maps. The resizing aims to facilitate model propagation and fully connected classification. However, … Read more