目标检测2020

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，没有发明backbone

https://mp.csdn.net/console/editor/html/105925868

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

 

腾讯推出超强少样本目标检测算法，公开千类少样本检测训练集FSOD

https://github.com/fanq15/Few-Shot-Object-Detection-Dataset

还未开源

https://blog.csdn.net/lichlee/article/details/104668499