Shypd.aiThe largest open index of AI toolsR-FCN is an open-source object detection framework that leverages region-based fully convolutional networks. It provides an efficient and accurate method for object recognition, suitable for computer vision research and development.
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R-FCN (Region-based Fully Convolutional Networks) is an open-source object detection framework designed for computer vision research and applications. It utilizes deep fully-convolutional networks to achieve accurate and efficient object detection. Unlike previous region-based detectors that apply costly per-region sub-networks, R-FCN shares almost all computation on the entire image, making it highly efficient. The framework can integrate powerful fully convolutional image classifier backbones, such as ResNets, for enhanced performance. It supports end-to-end training and inference for object detection and has been tested on Windows and Ubuntu platforms, requiring MATLAB and a Caffe build.
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