【资源推荐】视频检测（Video Detection）资源列表

【导读】近日，视频检测（Video Detection）受到广泛的关注，小编为大家带来了GitHub上视频检测合集列表。

Video-Detection

video detection papers based deep learning

Arxiv

• Towards High Performance for Mobiles: Xizhou Zhu, Jifeng Dai, Xingchi Zhu, Yichen Wei, Lu Yuan. "Towards High Performance Video Object Detection for Mobiles" Arxiv(2018). [ paper]

ECCV2018

• Fully Motion-Aware Network: Shiyao Wang, Yucong Zhou, Junjie Yan, Zhidong Deng. "Fully Motion-Aware Network for Video Object Detection." ECCV (2018). [ code]

• SpatioTemporal Sampling Network: Gedas Bertasius, Lorenzo Torresani, ianbo Shi. "Object Detection in Video with Spatiotemporal Sampling Networks." ECCV (2018). [ paper]

• Aligned Spatial-Temporal Memory: Fanyi Xiao, Yong Jae Lee. "Video Object Detection with an Aligned Spatial-Temporal Memory." ECCV(2018). [ paper]

CVPR2018

• Towards High Performance: Xizhou Zhu, Jifeng Dai, Lu Yuan, Yichen Wei. "Towards High Performance Video Object Detection." CVPR (2018). [ paper]

• Scale-Time Lattice: Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Chang Loy, Dahua Lin. "Optimizing Video Object Detection vis a Scale-Time Lattice." CVPR (2018). [ paper] [project]

ICCV2017

• FGFA: Xizhou Zhu, Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei. "Flow-Guided Feature Aggregation for Video Object Detection." ICCV (2017). [ paper]. [code]

• D_T: Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman. "Detect to Track and Track to Detect." ICCV (2017). [ paper]. [project]

CVPR2017

• DFF: Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, Yichen Wei. "Deep Feature Flow for Video Recognition." CVPR (2017). [paper] [code]

Object-Detection

object detection papers based deep learning

Arxiv

• DetNet: Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun. "DetNet: A Backbone network for Object Detection." [paper]

• Light-Head R-CNN: Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun. "Light-Head R-CNN: In Defense of Two-Stage Object Detector."[paper]

• YOLOv3: Joseph Redmon, Ali Farhadi. "YOLOv3: An Incremental Improvement." [paper]

ECCV2018

• IOU-Net: Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang. "Acquisition of Localization Confidence for Accurate Object Detection." ECCV(2018). [ paper] [code]

CVPR2018

• SNIP: Bharat Singh, Larry S. Davis. "An Analysis of Scale Invariance in Object Detection - SNIP." [paper] [code]

• Cascade-RCNN: Zhaowei Cai, Nuno Vasconcelos. "Cascade R-CNN: Delving into High Quality Object Detectio." [paper] [code]

• Relation-Networks: Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei. "Relation Networks for Object Detection." [paper] [code]

ICCV2017

CVPR2017

• YOLO9000: Joseph Redmon, Ali Farhadi. "YOLO9000: Better, Faster, Stronger." [paper] [project]

NIPS2016

• R-FCN: Jifeng Dai, Yi Li, Kaiming He, Jian Sun. "R-FCN: Object Detection via Region-based Fully Convolutional Networks." [paper]

CVPR2016

• YOLO: Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi. "You Only Look Once: Unified, Real-Time Object Detection." [paper] [project]

ECCV2016

• SSD: Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C.Berg. "SSD: Single Shot MultiBox Detector." [paper] [code]

ICCV2015

CVPR2015

• Faster R-CNN: Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks." [paper] [code]

参考链接：

https://github.com/jiangzhengkai/Video-Detection

-END-

专 · 知

专知《深度学习:算法到实战》课程全部完成！520+位同学在学习，现在报名，限时优惠！网易云课堂人工智能畅销榜首位！

欢迎微信扫一扫加入专知人工智能知识星球群，获取最新AI专业干货知识教程视频资料和与专家交流咨询！

请加专知小助手微信（扫一扫如下二维码添加），加入专知人工智能主题群，咨询《深度学习:算法到实战》课程，咨询技术商务合作~

请PC登录www.zhuanzhi.ai或者点击阅读原文，注册登录专知，获取更多AI知识资料！

点击“阅读原文”，了解报名专知《深度学习:算法到实战》课程