Small Object Detection with Multiscale Features
Small Object Detection with Multiscale Features is a scholarly work, published in 2018 in ''International Journal of Digital Multimedia Broadcasting''. The main subjects of the publication include pooling, image, object, convolutional neural network, deep learning, convolution, artificial intelligence, noise, Bounding overwatch, computer vision, artificial neural network, position, minimum bounding box, object detection, pattern recognition, and computer science. The authors can achieve good detection accuracy by extracting the features at different convolution levels of the object and using the multiscale features to detect small objects.