Modification method for single-stage object detectors that allows to exploit the temporal behaviour of a scene to improve detection accuracy

3 September 2020

Papers citing "Modification method for single-stage object detectors that allows to exploit the temporal behaviour of a scene to improve detection accuracy"

5 / 5 papers shown

Title
Temporally Identity-Aware SSD with Attentional LSTM Xingyu Chen Junzhi Yu Zhengxing Wu 42 58 0 01 Mar 2018
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving Bichen Wu Alvin Wan F. Iandola Peter H. Jin Kurt Keutzer 93 514 0 04 Dec 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 177 5,642 0 20 May 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 568 8,005 0 13 Jun 2015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun ObjD 405 11,233 0 18 Jun 2014