参考:https://zhuanlan.zhihu.com/p/97862053
RDSNet:用于目标检测和实例分割的新的深度网络
torch版,170m
https://github.com/wangsr126/RDSNet
deform_conv_cuda
很多cuda和cu,需要编译
LRF-Net:高速学习丰富的特征以进行Single-Shot目标检测《Learning Rich Features at High-Speed for Single-Shot Object Detection》时间:20191214(ICCV 2019)作者团队:天津大学&IIAI链接:http://openaccess.thecvf.com/content_ICCV_2019/papers/Wang_Learning_Rich_Features_at_High-Speed_for_Single-Shot_Object_Detection_ICCV_2019_paper.pdf代码:https://github.com/vaesl/LRF-Net注:超越YOLOV3、RetinaNet等Single-stage网络,速度高达52FPS!代码刚开源!(基于PyTorch)
https://github.com/vaesl/LRF-Net
模型290-300m