Video-Detection
video detection papers based deep learning
Arxiv
- Looking Fast and Slow: Mason Liu, Menglong Zhu Marie White Yinxiao Li Dmitry Kalenichenko. "Looking Fast and Slow: Memory-Guided Mobile Video Object Detection" Arxiv(2019). [ paper]
- 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
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Fully Motion-Aware Network: Shiyao Wang, Yucong Zhou, Junjie Yan, Zhidong Deng. "Fully Motion-Aware Network for Video Object Detection." ECCV (2018). [ code]
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SpatioTemporal Sampling Network: Gedas Bertasius, Lorenzo Torresani, ianbo Shi. "Object Detection in Video with Spatiotemporal Sampling Networks." ECCV (2018). [ paper]
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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]
- Mobile Video Object Detection: Mason Liu, Menglong Zhu. "Mobile Video Object Detection with Temporally-Aware Feature Maps." CVPR (2018). [ paper]
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
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]