Virtual to Real Adaptation of Pedestrian Detectors (original) (raw)

Virtual to Real adaptation of Pedestrian Detectors for Smart Cities

Luca Ciampi

arXiv (Cornell University), 2020

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Learning Pedestrian Detection from Virtual Worlds

Fabrizio Falchi

Image Analysis and Processing - ICIAP 2019, 2019

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Virtual and Real World Adaptationfor Pedestrian Detection

Javier Marin, David Vázquez

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000

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STD-PD: Generating Synthetic Training Data for Pedestrian Detection in Unannotated Videos

Aniket Bera

ArXiv, 2017

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Unsupervised domain adaptation of virtual and real worlds for pedestrian detection

David Vázquez

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Learning Appearance in Virtual Scenarios for Pedestrian Detection

David Vázquez, Javier Marin

2010 Ieee Conference on Computer Vision and Pattern Recognition (Cvpr), 2010

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MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training

Aniket Bera

2018

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Advanced Pedestrian Dataset Augmentation for Autonomous Driving

Michal Uřičář

2019

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Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes

Kyaw Min Htike

2014 22nd International Conference on Pattern Recognition, 2014

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Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator

Xinshuo Weng

arXiv:1612.05234, 2016

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Deep Convolutional Neural Networks for pedestrian detection

S. Tubaro

Signal Processing: Image Communication, 2016

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How can deep learning and domain adaptation methods help solve pedestrian detection problems

Hana Ewada

Deep learning and Domain adaptation in pedestrian detection , 2023

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Reduced Training of Convolutional Neural Networks for Pedestrian Detection

Giang Nguyen

2009

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Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology

Alma Liezenga

arXiv (Cornell University), 2024

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Interactive Training of Human Detectors

David Vázquez

Intelligent Systems Reference Library, 2013

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Improving the Pedestrian Detection Performance in the Absence of Rich Training Datasets: A UK Case Study

Tabassom Sedighi

Advances in Artificial Intelligence and Machine Learning

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A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection

Zhe Chen

International Journal of Computer Vision, 2021

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Generalizable Pedestrian Detection: The Elephant in the Room

saad akram

2021

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Pedestrian Detection: The Elephant In The Room

saad akram

2020

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Automatically Dataset Augmentation Using Virtual Human Simulation

MARCELO GHILARDI

2019

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Adapting pedestrian detectors to new domains: A comprehensive review

Kyaw Min Htike

Engineering Applications of Artificial Intelligence, 2016

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Fine-Tuning Deep Learning Models for Pedestrian Detection

Caisse Amisse

Boletim De Ciencias Geodesicas, 2021

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Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes

Sebastian Ramos

2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013

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Pedestrian Detection: Exploring Virtual Worlds

Antonio Lopez

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Automatic Dataset Augmentation Using Virtual Human Simulation

MARCELO GHILARDI

ArXiv, 2019

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Learning a Part-Based Pedestrian Detector in a Virtual World

Javier Marin, David Vázquez

IEEE Transactions on Intelligent Transportation Systems, 2000

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Training and Testing Object Detectors With Virtual Images

IEEE/CAA J. Autom. Sinica

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Pedestrian Detection System Using Deep Convolutional Neural Networks

Prasanna Kolar

2017

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