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State-of-the-art temporal action detectors to date are based on two-stream input including RGB frames and optical flow.
Human detection using oriented histograms of flow and appearance
Navneet Dalal, Bill Triggs, and Cordelia Schmid · 2006
Earlier work this paper cites.
A 3-dimensional sift descriptor and its application to action recognition
Paul Scovanner, Saad Ali, and Mubarak Shah · 2007
Earlier work this paper cites.
A duality based approach for realtime tv-l 1 optical flow
Christopher Zach, Thomas Pock, and Horst Bischof · 2007
Earlier work this paper cites.
A spatio-temporal descriptor based on 3d-gradients
Alexander Klaser, Marcin Marszałek, and Cordelia Schmid · 2008
Earlier work this paper cites.
Selective search for object recognition
Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
Earlier work this paper cites.
Action recognition with improved trajectories
Heng Wang and Cordelia Schmid · 2013
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
Earlier work this paper cites.
Thumos challenge: Action recognition with a large number of classes, 2014
Yu-Gang Jiang, Jingen Liu, A Roshan Zamir, George Toderici, Ivan Laptev, Mubarak Shah, and Rahul Sukthankar · 2014
Earlier work this paper cites.
Fast r-cnn
Ross Girshick · 2015
Earlier work this paper cites.
Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
Earlier work this paper cites.
Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
Earlier work this paper cites.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Earlier work this paper cites.
Faster r-cnn: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2016
Earlier work this paper cites.
Temporal segment networks: Towards good practices for deep action recognition
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool · 2016
Earlier work this paper cites.
Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Earlier work this paper cites.
The kinetics human action video dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
Earlier work this paper cites.
Single shot temporal action detection
Tianwei Lin, Xu Zhao, and Zheng Shou · 2017
Earlier work this paper cites.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Earlier work this paper cites.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
Earlier work this paper cites.
Inception single shot multibox detector for object detection
Chengcheng Ning, Huajun Zhou, Yan Song, and Jinhui Tang · 2017
Earlier work this paper cites.
Yolo9000: better, faster, stronger
Joseph Redmon and Ali Farhadi · 2017
Cited alongside, same era.
Cdc: Convolutional-de-convolutional networks for precise temporal action localization in untrimmed videos
Zheng Shou, Jonathan Chan, Alireza Zareian, Kazuyuki Miyazawa, and Shih-Fu Chang · 2017
Cited alongside, same era.
R-c3d: Region convolutional 3d network for temporal activity detection
Huijuan Xu, Abir Das, and Kate Saenko · 2017
Cited alongside, same era.
Temporal action detection with structured segment networks
Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, and Dahua Lin · 2017
Cited alongside, same era.
Cascade r-cnn: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
Cited alongside, same era.
Rethinking the faster r-cnn architecture for temporal action localization
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A Ross, Jia Deng, and Rahul Sukthankar · 2018
Gaussian temporal awareness networks for action localization
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, and Tao Mei · 2019
Later among the works it cites.
Fcos: Fully convolutional one-stage object detection
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
Later among the works it cites.
Iou-balanced loss functions for single-stage object detection
Shengkai Wu, Jinrong Yang, Xinggang Wang, and Xiaoping Li · 2019
Later among the works it cites.
Graph convolutional networks for temporal action localization
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, and Chuang Gan · 2019
Later among the works it cites.
Boundary content graph neural network for temporal action proposal generation
Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, and Junhui Liu · 2020
Later among the works it cites.
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Cited alongside, same era.
Ctap: Complementary temporal action proposal generation
Jiyang Gao, Kan Chen, and Ram Nevatia · 2018
Cited alongside, same era.
Acquisition of localization confidence for accurate object detection
Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, and Yuning Jiang · 2018
Cited alongside, same era.
Bsn: Boundary sensitive network for temporal action proposal generation
Tianwei Lin, Xu Zhao, Haisheng Su, Chongjing Wang, and Ming Yang · 2018
Cited alongside, same era.
Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
Cited alongside, same era.
Optical flow guided feature: A fast and robust motion representation for video action recognition
Shuyang Sun, Zhanghui Kuang, Lu Sheng, Wanli Ouyang, and Wei Zhang · 2018
Cited alongside, same era.
A closer look at spatiotemporal convolutions for action recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri · 2018
Cited alongside, same era.
Accurate temporal action proposal generation with relation-aware pyramid network
Jialin Gao, Zhixiang Shi, Guanshuo Wang, Jiani Li, Yufeng Yuan, Shiming Ge, and Xi Zhou · 2020
Later among the works it cites.
Motionsqueeze: Neural motion feature learning for video understanding
Heeseung Kwon, Manjin Kim, Suha Kwak, and Minsu Cho · 2020
Later among the works it cites.
Deep concept-wise temporal convolutional networks for action localization
Xin Li, Tianwei Lin, Xiao Liu, Wangmeng Zuo, Chao Li, Xiang Long, Dongliang He, Fu Li, Shilei Wen, and Chuang Gan · 2020
Later among the works it cites.
Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection
Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, and Jian Yang · 2020
Later among the works it cites.
Fast learning of temporal action proposal via dense boundary generator
Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, and Rongrong Ji · 2020
Later among the works it cites.
Progressive boundary refinement network for temporal action detection
Qinying Liu and Zilei Wang · 2020
Later among the works it cites.
Haisheng Su, Weihao Gan, Wei Wu, Yu Qiao, and Junjie Yan · 2020
Later among the works it cites.
Multi-level temporal pyramid network for action detection
Xiang Wang, Changxin Gao, Shiwei Zhang, and Nong Sang · 2020
Later among the works it cites.
Iou-aware single-stage object detector for accurate localization
Shengkai Wu, Xiaoping Li, and Xinggang Wang · 2020
Later among the works it cites.
G-tad: Sub-graph localization for temporal action detection
Mengmeng Xu, Chen Zhao, David S Rojas, Ali Thabet, and Bernard Ghanem · 2020
Later among the works it cites.
Revisiting anchor mechanisms for temporal action localization
Le Yang, Houwen Peng, Dingwen Zhang, Jianlong Fu, and Junwei Han · 2020
Later among the works it cites.
Bottom-up temporal action localization with mutual regularization
Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, and Qi Tian · 2020
Later among the works it cites.
Distance-iou loss: Faster and better learning for bounding box regression
Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, and Dongwei Ren · 2020
Later among the works it cites.
Learning salient boundary feature for anchor-free temporal action localization
Chuming Lin, Chengming Xu, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, and Yanwei Fu · 2021
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Temporal context aggregation network for temporal action proposal refinement
Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, and Nong Sang · 2021
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