Deep tracking in the wild: End-to-end tracking using recurrent neural networks

Deep tracking in the wild: End-to-end tracking using recurrent neural networks

This paper presents a novel approach for tracking static and dynamic objects for an autonomous vehicle operating in complex urban environments. Whereas traditional approaches for tracking often feature numerous hand-engineered stages, this method is learned end-to-end and can directly predict a full...

Bibliografski detalji
Glavni autori:	Dequaire, J, Ondrúška, P, Rao, D, Wang, D, Posner, H
Format:	Journal article
Izdano:	SAGE Publications 2017

Slični predmeti

End-to-end tracking and semantic segmentation using recurrent neural networks
od: Ondruska, P, i dr.
Izdano: (2016)

DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
od: Wang, S, i dr.
Izdano: (2017)

End‐to‐end feature fusion Siamese network for adaptive visual tracking
od: Dongyan Guo, i dr.
Izdano: (2021-01-01)

Off the beaten track: predicting localisation performance in visual teach and repeat
od: Dequaire, J, i dr.
Izdano: (2018)

Deep Reinforcement Learning-Based End-to-End Control for UAV Dynamic Target Tracking
od: Jiang Zhao, i dr.
Izdano: (2022-11-01)

Hierarchical attentive recurrent tracking
od: Kosiorek, A, i dr.
Izdano: (2018)

End-to-end representation learning for Correlation Filter based tracking
od: Valmadre, J, i dr.
Izdano: (2017)

An End-to-End Recurrent Neural Network for Radial MR Image Reconstruction
od: Changheun Oh, i dr.
Izdano: (2022-09-01)

Recurrent neural network for end-to-end modeling of laminar-turbulent transition
od: Muhammad I. Zafar, i dr.
Izdano: (2021-01-01)

Kurdish end-to-end speech synthesis using deep neural networks
od: Sabat Salih Muhamad, i dr.
Izdano: (2024-09-01)

An End-to-End Dehazing Siamese Region Proposal Network for High Robustness Object Tracking
od: Kun Han, i dr.
Izdano: (2021-01-01)

Attention-Based End-to-End Differentiable Particle Filter for Audio Speaker Tracking
od: Jinzheng Zhao, i dr.
Izdano: (2024-01-01)

End-to-End Training of Deep Neural Networks in the Fourier Domain
od: András Fülöp, i dr.
Izdano: (2022-06-01)

End-to-End Network for Pedestrian Detection, Tracking and Re-Identification in Real-Time Surveillance System
od: Mingwei Lei, i dr.
Izdano: (2022-11-01)

End-to-End Premature Ventricular Contraction Detection Using Deep Neural Networks
od: Dimitri Kraft, i dr.
Izdano: (2023-10-01)

An End‐To‐End Flood Stage Prediction System Using Deep Neural Networks
od: L. Windheuser, i dr.
Izdano: (2023-01-01)

Image Shadow Removal Using End-to-End Deep Convolutional Neural Networks
od: Hui Fan, i dr.
Izdano: (2019-03-01)

End-to-End Unsupervised 4D Cardiac Motion Tracking With Spatiotemporal Optical Flow Networks
od: Long Teng, i dr.
Izdano: (2024-01-01)

MPNET: An End-to-End Deep Neural Network for Object Detection in Surveillance Video
od: Hanyu Wang, i dr.
Izdano: (2018-01-01)

Convolution Encoders for End-to-End Action Tracking With Space-Time Cubic Kernels
od: Lin Wang, i dr.
Izdano: (2020-01-01)

End-to-End Correlation Tracking With Enhanced Multi-Level Feature Fusion
od: Guangen Liu, i dr.
Izdano: (2021-01-01)

Influencer Loss: End-to-end Geometric Representation Learning for Track Reconstruction
od: Murnane Daniel
Izdano: (2024-01-01)

Deep Communication: Exploring End-to-End Wireless with Convolutional Neural Network
od: Sumaira Mushtaq, i dr.
Izdano: (2023-07-01)

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition
od: Hongje Seong, i dr.
Izdano: (2020-01-01)

Deep Regression Neural Network for End-to-End Person Re-Identification
od: Yingchun Guo, i dr.
Izdano: (2019-01-01)

End-to-End Joint Multi-Object Detection and Tracking for Intelligent Transportation Systems
od: Qing Xu, i dr.
Izdano: (2023-11-01)

Large-scale cost function learning for path planning using deep inverse reinforcement learning
od: Wulfmeier, M, i dr.
Izdano: (2017)

Robot End Effector Tracking Using Predictive Multisensory Integration
od: Lakshitha P. Wijesinghe, i dr.
Izdano: (2018-10-01)

INTEGRATING MOTION PRIORS FOR END-TO-END ATTENTION-BASED MULTI-OBJECT TRACKING
od: R. Ali, i dr.
Izdano: (2023-12-01)

An End-to-End Noise-Weakened Person Re-Identification and Tracking With Adaptive Partial Information
od: Xi Yang, i dr.
Izdano: (2019-01-01)

An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention
od: Yong Hong, i dr.
Izdano: (2022-12-01)

Target tracking using deep neural network (DNN)
od: Hu, Minghui
Izdano: (2019)

A Vision-Based End-to-End Reinforcement Learning Framework for Drone Target Tracking
od: Xun Zhao, i dr.
Izdano: (2024-10-01)

SeqSleepNet: end-to-end hierarchical recurrent neural network for sequence-to-sequence automatic sleep staging
od: Phan, H, i dr.
Izdano: (2019)

A theoretical framework for end-to-end learning of deep neural networks with applications to robotics
od: Li, Sitan, i dr.
Izdano: (2023)

Evolving Hybrid Deep Neural Network Models for End-to-End Inventory Ordering Decisions
od: Thais de Castro Moraes, i dr.
Izdano: (2023-11-01)

A Theoretical Framework for End-to-End Learning of Deep Neural Networks With Applications to Robotics
od: Sitan Li, i dr.
Izdano: (2023-01-01)

An End-to-End Deep Neural Network for Autonomous Driving Designed for Embedded Automotive Platforms
od: Jelena Kocić, i dr.
Izdano: (2019-05-01)

SGDNet : an end-to-end saliency-guided deep neural network for no-reference image quality assessment
od: Yang, Sheng, i dr.
Izdano: (2020)

Generalising multistain immunohistochemistry tissue segmentation using end‐to‐end colour deconvolution deep neural networks
od: Amal Lahiani, i dr.
Izdano: (2019-05-01)