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Accurately estimating the position of static objects, such as traffic lights, from the moving camera of a self-driving car is a challenging problem.
The Hungarian method for the assignment problem
Harold W Kuhn · 1955
Earlier work this paper cites.
Evaluating Multiple Object Tracking Performance: the CLEAR MOT metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
Earlier work this paper cites.
Microsoft COCO: Common Objects in Context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
Near-Online Multi-Target Tracking With Aggregated Local Flow Descriptor
Wongun Choi · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
Earlier work this paper cites.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy · 2015
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PoseNet: A Convolutional Network for Real-time 6-DoF Camera Relocalization
Alex Kendall, Matthew Grimes, and Roberto Cipolla · 2015
Earlier work this paper cites.
Fully Convolutional Networks for Semantic Segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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.
MOT16: A benchmark for Multi-Object Tracking
Anton Milan, Laura Leal-Taixé, Ian Reid, Stefan Roth, and Konrad Schindler · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Telecom Inventory Management via Object Recognition and Localisation on Google Street View Images
Ramya Hebbalaguppe, Gaurav Garg, Ehtesham Hassan, Hiranmay Ghosh, and Ankit Verma · 2017
Earlier work this paper cites.
An Overview of Multi-task Learning in Deep Neural Networks
Sebastian Ruder · 2017
Earlier work this paper cites.
Simple Online and Realtime Tracking with a Deep Association Metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
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Online Multi-Target Tracking Using Recurrent Neural Networks
Anton Milan, S Hamid Rezatofighi, Anthony Dick, Ian Reid, and Konrad Schindler · 2017
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Deep Watershed Transform for Instance Segmentation
Min Bai and Raquel Urtasun · 2017
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The Mapillary vistas dataset for semantic understanding of street scenes
Gerhard Neuhold, Tobias Ollmann, Samuel Rota Bulo, and Peter Kontschieder · 2017
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Automatic Discovery and Geotagging of Objects from Street View Imagery
Vladimir A Krylov, Eamonn Kenny, and Rozenn Dahyot · 2018
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Object Geolocation using MRF Based Multi-Sensor Fusion
Vladimir A Krylov and Rozenn Dahyot · 2018
Making deep heatmaps robust to partial occlusions for 3D object pose estimation
Markus Oberweger, Mahdi Rad, and Vincent Lepetit · 2018
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Simultaneous multi-view instance detection with learned geometric soft-constraints
Ahmed Samy Nassar, Sébastien Lefèvre, and Jan Dirk Wegner · 2019
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Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe · 2019
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Robust multi-modality multi-object tracking
Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, and Chen Change Loy · 2019
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Deep Affinity Network for Multiple Object Tracking
ShiJie Sun, Naveed Akhtar, HuanSheng Song, Ajmal S Mian, and Mubarak Shah · 2019
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Multiple Object Tracking With Attention to Appearance, Structure, Motion and Size
Hasith Karunasekera, Han Wang, and Handuo Zhang · 2019
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Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images
Weixing Zhang, Chandi Witharana, Weidong Li, Chuanrong Zhang, Xiaojiang Li, and Jason Parent · 2018
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Online Multi-Object Tracking with Dual Matching Attention Networks
Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, and Ming-Hsuan Yang · 2018
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Mono-camera 3D multi-object tracking using deep learning detections and PMBM filtering
Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, and Karl Granström · 2018
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Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking
Sarthak Sharma, Junaid Ahmed Ansari, J Krishna Murthy, and K Madhava Krishna · 2018
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PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2018
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DeepIM: Deep Iterative Matching for 6D Pose Estimation
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, and Dieter Fox · 2018
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Exploit the connectivity: Multi-object tracking with TrackletNet
Gaoang Wang, Yizhou Wang, Haotian Zhang, Renshu Gu, and Jenq-Neng Hwang · 2019
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UPSNet: A Unified Panoptic Segmentation Network
Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, and Raquel Urtasun · 2019
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nuScenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2019
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PyTorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Pvnet: Pixel-wise voting network for 6DoF pose estimation
Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, and Hujun Bao · 2019
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DPOD: 6D Pose Object Detector and Refiner
Sergey Zakharov, Ivan Shugurov, and Slobodan Ilic · 2019
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