类型	开源代码地址	文件名	公网IP地址/公网URL地址/域名/邮箱地址	用途说明
开源代码引入	https://github.com/dbolya/yolact/blob/master/backbone.py	YOLACT/backbone.py	https://github.com/pjreddie/darknet/blob/680d3bde1924c8ee2d1c1dea54d3e56a05ca9a26/src/activations.h#L39	源码实现
开源代码引入	https://github.com/dbolya/yolact/blob/master/backbone.py	YOLACT/backbone.py	https://pjreddie.com/media/files/papers/YOLOv3.pdf	参考论文地址
开源代码引入	https://github.com/dbolya/yolact/blob/master/yolact.py	YOLACT/yolact.py	https://github.com/pytorch/pytorch/issues/17108	模型相关说明
开源代码引入	https://github.com/dbolya/yolact/blob/master/yolact.py	YOLACT/yolact.py	https://arxiv.org/pdf/1701.06659.pdf	参考论文地址
开源代码引入	https://github.com/dbolya/yolact/blob/master/eval.py	YOLACT/eval.py	https://stackoverflow.com/questions/664014/what-integer-hash-function-are-good-that-accepts-an-integer-hash-key	模型相关说明
开源代码引入	https://github.com/dbolya/yolact/blob/master/yolact.py	YOLACT/yolact.py	https://arxiv.org/pdf/1612.03144.pdf	参考论文地址
开源代码引入	https://github.com/dbolya/yolact/blob/master/yolact.py	YOLACT/yolact.py	https://discuss.pytorch.org/t/how-to-train-with-frozen-batchnorm/12106/8	模型相关说明
开源代码引入	https://github.com/dbolya/yolact/blob/master/data/coco.py	YOLACT/data/coco.py	http://mscoco.org/dataset/#detections-challenge2016	模型相关说明
开源代码引入	https://github.com/dbolya/yolact/blob/master/layers/box_utils.py	YOLACT/layers/box_utils.py	https://lmb.informatik.uni-freiburg.de/Publications/2018/UB18/paper-box2pix.pdf	参考论文地址
开源代码引入	https://github.com/dbolya/yolact/blob/master/layers/box_utils.py	YOLACT/layers/box_utils.py	https://arxiv.org/pdf/1612.08242.pdf	参考论文地址
开源代码引入	https://github.com/dbolya/yolact/blob/master/data/config.py	YOLACT/data/config.py	https://arxiv.org/pdf/1708.02002.pdf	参考论文地址
开源代码引入	https://github.com/dbolya/yolact/blob/master/data/config.py	YOLACT/data/config.py	https://arxiv.org/abs/1903.00241	模型相关说明
开源代码引入	https://github.com/dbolya/yolact/blob/master/utils/nvinfo.py	YOLACT/utils/nvinfo.py	https://pypi.org/project/nvgpu/	模型相关说明
开源代码引入	https://github.com/dbolya/yolact/blob/master/utils/augmentations.py	YOLACT/utils/augmentations.py	https://github.com/amdegroot/ssd.pytorch/issues/68	模型相关说明
开源代码引入	https://github.com/dbolya/yolact/blob/master/layers/modules/multibox_loss.py	YOLACT/layers/modules/multibox_loss.py	https://arxiv.org/pdf/1512.02325.pdf	参考论文地址
开源代码引入	https://github.com/dbolya/yolact/blob/master/data/config.py	YOLACT/layers/modules/multibox_loss.py	https://arxiv.org/pdf/1708.02002.pdf	参考论文地址
开源代码引入	https://github.com/dbolya/yolact/blob/master/layers/modules/multibox_loss.py	YOLACT/layers/modules/multibox_loss.py	https://github.com/clcarwin/focal_loss_pytorch/blob/master/focalloss.py	源码实现
开源代码引入	https://github.com/dbolya/yolact/blob/master/layers/modules/multibox_loss.py	YOLACT/layers/modules/multibox_loss.py	https://github.com/kuangliu/pytorch-retinanet/blob/master/utils.py	源码实现