VirtualWorlds as Proxy for Multi-object Tracking Analysis

Gaidon, Adrien, Wang, Qiao, Cabon, Yohann, Vig, Eleonora·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr.2016.470

Cited by (1,000)

Items 101–200 of 1,000

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  21. Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
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  66. Weakly Supervised Silhouette-based Semantic Scene Change Detection
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  71. Deep Depth Completion from Extremely Sparse Data: A Survey
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  78. SPIGAN: Privileged Adversarial Learning from Simulation
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  79. Unified Framework and Survey for Model Verification, Validation and Uncertainty Quantification
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  80. Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
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  81. Automated production of synthetic point clouds of truss bridges for semantic and instance segmentation using deep learning models
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  83. How much real data do we actually need: Analyzing object detection performance using synthetic and real data
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  84. Analysis Based on Recent Deep Learning Approaches Applied in Real-Time Multi-Object Tracking: A Review
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  85. CrossFuser: Multi-Modal Feature Fusion for End-to-End Autonomous Driving Under Unseen Weather Conditions
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  86. Multi-task, multi-domain learning: Application to semantic segmentation and pose regression
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  88. Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames
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  89. SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments
    Shibo Zhao, Yuanjun Gao, Tianhao Wu, Damanpreet Singh, Rushan Jiang, Haoxiang Sun, Mansi Sarawata, Yuheng Qiu, Warren Whittaker, Ian Higgins et al. · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  90. PathTrack: Fast Trajectory Annotation with Path Supervision
    Santiago Manén, Michael Gygli, Dengxin Dai, Luc Van Gool · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  91. A Survey of Scene Understanding by Event Reasoning in Autonomous Driving
    Jianru Xue, Jianwu Fang, Pu Zhang · 2018 · Machine Intelligence Research
  92. Learning Topology From Synthetic Data for Unsupervised Depth Completion
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  94. DASGIL: Domain Adaptation for Semantic and Geometric-Aware Image-Based Localization
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  95. Learning Affordance Segmentation for Real-World Robotic Manipulation via Synthetic Images
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  96. Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation
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  99. SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation
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