Search results with tag "Spatial pyramid pooling"
Encoder-DecoderwithAtrous Separable Convolution for ...
openaccess.thecvf.comSpatial Pyramid Pooling, or ASPP), while PSPNet [24] performs pooling opera-tions at different grid scales. Even though rich semantic information is encoded in the last feature map, detailed information related to object boundaries is missing due to the pooling or convolutions with striding operations within the network backbone.
rbg@microsoft
arxiv.orgSpatial pyramid pooling networks (SPPnets) [11] were pro-posed to speed up R-CNN by sharing computation. The SPPnet method computes a convolutional feature map for the entire input image and then classifies each object pro-posal using a feature vector extracted from the shared fea-ture map. Features are extracted for a proposal by max-
Spatial Pyramid Pooling in Deep Convolutional Networks …
tinman.cs.gsu.eduAbstract—Existing deep convolutional neural networks (CNNs) require a fixed-size (e.g., 224 224) input image. This require- ... new network structure, called SPP-net, can generate a fixed-length representation regardless of image size/scale. ... networks [3] cannot; 2) SPP uses multi-level spatial bins, while the sliding window pooling uses ...