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Video-Detection

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video detection papers

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## 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](https://arxiv.org/pdf/1903.10172v1.pdf)]
* **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](https://arxiv.org/pdf/1804.05830.pdf)]

### ECCV2020
* **LSTS:** Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan.
  "Learning Where to Focus for Efficient Video Object Detection" ECCV(2020). [
  [paper](https://arxiv.org/pdf/1911.05253.pdf)] [[code](https://github.com/jiangzhengkai/LSTS)]

### CVPR2020
* **MEGA:** Yihong Chen, Yue Cao, Han Hu, Liwei Wang.
  "Memory Enhanced Global-Local Aggregation for Video Object Detection" CVPR(2020). [
  [paper](https://arxiv.org/pdf/2003.12063.pdf)]

### ICCV2019
* **Sequence Level Semantics Aggregation:** Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang.
  "Sequence Level Semantics Aggregation for Video Object Detection" ICCV(2019). [
  [paper](https://arxiv.org/pdf/1907.06390v1.pdf)]

* **Average Delay:** Huizi Mao, Xiaodong Yang, William J. Dally.
  "A Delay Metric for Video Object Detection: What Average Precision Fails to Tell." ICCV (2019). [
  [paper](https://arxiv.org/pdf/1908.06368.pdf)]

* **Relation Distillation Networks:** Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, Tao Mei.
  "Relation Distillation Networks for Video Object Detection." ICCV (2019). [
  [paper](https://arxiv.org/pdf/1908.09511.pdf)]

### AAAI2019
* **Locally-Weighted Deformable Neighbors:** Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan.
  "Video Object Detection with Locally-Weighted Deformable Neighbors" AAAI(2019). [
  [paper](https://aaai.org/ojs/index.php/AAAI/article/view/4871)]

### ECCV2018
* **Fully Motion-Aware Network:** Shiyao Wang, Yucong Zhou, Junjie Yan, Zhidong Deng.
  "Fully Motion-Aware Network for Video Object Detection." ECCV (2018). [
  [code](https://github.com/wangshy31/MANet_for_Video_Object_Detection.git)]
  
* **SpatioTemporal Sampling Network:** Gedas Bertasius, Lorenzo Torresani, ianbo Shi.
  "Object Detection in Video with Spatiotemporal Sampling Networks." ECCV (2018). [
  [paper](https://arxiv.org/pdf/1803.05549.pdf)]
  
* **Aligned Spatial-Temporal Memory:** Fanyi Xiao, Yong Jae Lee.
  "Video Object Detection with an Aligned Spatial-Temporal Memory." ECCV(2018). [
  [paper](https://arxiv.org/abs/1712.06317)]

### CVPR2018
* **Towards High Performance:** Xizhou Zhu, Jifeng Dai, Lu Yuan, Yichen Wei.
  "Towards High Performance Video Object Detection." CVPR (2018). [
  [paper](https://arxiv.org/abs/1711.11577)]
* **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](http://mmlab.ie.cuhk.edu.hk/projects/ST-Lattice/ST-Lattice.pdf)] [[project](http://mmlab.ie.cuhk.edu.hk/projects/ST-Lattice/)]
* **Mobile Video Object Detection:** Mason Liu, Menglong Zhu.
  "Mobile Video Object Detection with Temporally-Aware Feature Maps." CVPR (2018). [
  [paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Mobile_Video_Object_CVPR_2018_paper.pdf)]
### ICCV2017
* **FGFA:** Xizhou Zhu, Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei.
  "Flow-Guided Feature Aggregation for Video Object Detection." ICCV (2017). [
  [paper](https://arxiv.org/abs/1703.10025)]. [[code](https://github.com/msracver/Flow-Guided-Feature-Aggregation)]
* **D_T:** Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman.
  "Detect to Track and Track to Detect." ICCV (2017). [
  [paper](http://www.robots.ox.ac.uk/~vgg/publications/2017/Feichtenhofer17/feichtenhofer17.pdf)]. [[project](http://www.robots.ox.ac.uk/~vgg/research/detect-track/)]
### CVPR2017
* **DFF:** Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, Yichen Wei.
  "Deep Feature Flow for Video Recognition." CVPR (2017). [[paper](https://arxiv.org/abs/1611.07715)] [[code](https://github.com/msracver/Deep-Feature-Flow)]

## Object-Detection
object detection papers based deep learning
### Arxiv
* **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](https://arxiv.org/abs/1711.07264)]
* **YOLOv3:** Joseph Redmon, Ali Farhadi.
  "YOLOv3: An Incremental Improvement." [[paper](https://pjreddie.com/media/files/papers/YOLOv3.pdf)]
  
### ECCV2018
* **DetNet:** Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun.
  "DetNet: A Backbone network for Object Detection." [[paper](https://arxiv.org/pdf/1804.06215.pdf)]
* **IOU-Net:** Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang.
  "Acquisition of Localization Confidence for Accurate Object Detection." ECCV(2018). [
  [paper](https://arxiv.org/pdf/1807.11590.pdf)] [[code](https://github.com/vacancy/PreciseRoIPooling)]
  
### CVPR2018
* **SNIP:** Bharat Singh, Larry S. Davis.
  "An Analysis of Scale Invariance in Object Detection - SNIP." [[paper](https://arxiv.org/pdf/1711.08189.pdf)] [[code](https://github.com/bharatsingh430/snip)]
 * **Cascade-RCNN:** Zhaowei Cai, Nuno Vasconcelos.
   "Cascade R-CNN: Delving into High Quality Object Detectio." [[paper](https://arxiv.org/pdf/1712.00726.pdf)] [[code](https://github.com/zhaoweicai/cascade-rcnn)]
 * **Relation-Networks:** Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei.
   "Relation Networks for Object Detection." [[paper](https://arxiv.org/pdf/1711.11575.pdf)] [[code](https://github.com/msracver/Relation-Networks-for-Object-Detection)]

### ICCV2017
* **RetinaNet:** Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollar.
  "Focal Loss for Dense Object Detection." [[paper](https://arxiv.org/abs/1708.02002)]
* **Mask R-CNN:** Kaiming He, Georgia Gkioxari, Piotr Dollar, Ross Girshick.
  "Mask R-CNN." [[paper](https://arxiv.org/abs/1703.06870)] [[caffe2_code](https://github.com/facebookresearch/Detectron)][[pytorch_code](https://github.com/facebookresearch/maskrcnn-benchmark)]

### CVPR2017
* **YOLO9000:** Joseph Redmon, Ali Farhadi.
  "YOLO9000: Better, Faster, Stronger." [[paper](https://arxiv.org/abs/1612.08242)] [[project](https://pjreddie.com/publications/)]
* **FPN:** Tsung-Yi Lin, Piotr Dollar, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie.
  "Feature Pyramid Networks for Object Detection." [[paper](https://arxiv.org/abs/1612.03144)]

### NIPS2016
* **R-FCN:** Jifeng Dai, Yi Li, Kaiming He, Jian Sun.
  "R-FCN: Object Detection via Region-based Fully Convolutional Networks." [[paper](https://arxiv.org/abs/1605.06409)]

### ECCV2016
* **SSD:** Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C.Berg.
  "SSD: Single Shot MultiBox Detector." [[paper](https://arxiv.org/abs/1512.02325)] [[code](https://github.com/weiliu89/caffe/tree/ssd)]

### CVPR2016
* **YOLO:** Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi.
  "You Only Look Once: Unified, Real-Time Object Detection." [[paper](https://arxiv.org/abs/1506.02640)] [[project](https://pjreddie.com/publications/)]

### NIPS2015
* **Faster R-CNN:** Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun.
  "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks." [[paper](https://arxiv.org/abs/1506.01497)] [[code](https://github.com/rbgirshick/py-faster-rcnn)]

### ICCV2015
* **Fast R-CNN:** Ross Girshick.
  "Fast R-CNN." [[paper](https://arxiv.org/abs/1504.08083)]

### CVPR2014
* **R-CNN:** Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik.
  "Rich feature hierarchies for accurate object detection and semantic segmentation." [[paper](https://arxiv.org/abs/1311.2524)]

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