Detectron swMATH ID: 30742 Software Authors: Girshick, R., Radosavovic, I., Gkioxari, G., Dollár, P., He, K. Description: Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. Homepage: https://research.fb.com/downloads/detectron/ Source Code: https://github.com/facebookresearch/Detectron Dependencies: Python Related Software: PyTorch; MMDetection; TensorFlow; SimpleDet; MS-COCO; AllenNLP; ImageNet; Python; Caffe; CascadeTabNet; OLALA; Tesseract; dhSegment; LayoutLM; TableBank; LayoutParser; CFLOW-AD; GANomaly; PyTorch Lightning; Scikit Cited in: 1 Document all top 5 Cited by 6 Authors 1 Li, Jingyu 1 Luo, Ping 1 Ren, Jiamin 1 Shao, Wenqi 1 Wang, Xiaogang 1 Zhang, Ruimao Cited in 1 Serial 1 International Journal of Computer Vision Cited in 1 Field 1 Computer science (68-XX) Citations by Year