[2010 PAMI] Object Detection with Discriminatively Trained Part Based Models Pedro F. Felzenszwalb, Ross B.Girshick, David McAllester and Deva Ramanan 翻译见：http://blog.csdn.net/masibuaa/article/details/17924671
你只看一次：统一、实时的目标检测 You only look once: Unified, real-time object detection (2016) 作者J. Redmon et al. 用于物体精准检测和分割的基于区域的卷积网络 Region-based convolutional networks for accurate object detection and segmentation (2016) 作者R. Girshick et al. 用于语义分割的饱和卷积网络 Ful
具体描述Glow编译器的基础知识，glow是通过减少计算图的计算量来优化的have implemented a high-level intermediate represen
Variable
name: save saveLl
tation that allows a compiler to reason about and
Value: 0.000000e+C0 output: floaK
optimize high-level constructs such as tensors and
DPM目标检测，除深度学习方法外效果最好的检测方法。
转载自官网。
[1] P. Felzenszwalb, R. Girshick, D. McAllester.
Cascade Object Detection with Deformable Part Models.
To appear in the Proceedings of the IEEE CVPR 2010.
[2] P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramana
MoCo：用于无监督视觉表示学习的动量对比
这是MoCo的PyTorch实现：
Article{he2019moco,
author = {Kaiming He and Haoqi Fan and Yuxin Wu and Saining Xie and Ross Girshick},
title = {Momentum Contrast for Unsupervised Visual Representation Learning},
journal = {arXiv pr
带有Tensorflow 2的YOLO
您只看一次：统一的实时对象检测
misc{redmon2016look,
title={You Only Look Once: Unified, Real-Time Object Detection},
author={Joseph Redmon and Santosh Divvala and Ross Girshick and Ali Farhadi},
year={2016},
eprint={15
