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HBW Dataset Papers With Code

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Human Bodies in the Wild (HBW) is a validation and test set for body shape estimation. It consists of images taken in the wild and ground truth 3D body scans in SMPL-X topology. To create HBW, we collect body scans of 35 participants and register the SMPL-X model to the scans. Further each participant is photographed in various outfits and poses in front of a white background and uploads full-body photos of themselves taken in the wild. The validation and test set images are released. The ground truth shape is only released for the validation set.

HBW Dataset  Papers With Code

A standardized dataset for conservation prioritization of songbirds to support CITES - ScienceDirect

HBW Dataset  Papers With Code

Waymo Open Dataset Benchmark (3D Object Detection From Monocular Images)

HBW Dataset  Papers With Code

Diagnostics May 2021 - Browse Articles

HBW Dataset  Papers With Code

A Comprehensive Overview on UWB Radar: Applications, Standards, Signal Processing Techniques, Datasets, Radio Chips, Trends and Future Research Directions

HBW Dataset  Papers With Code

Publications Perceiving Systems - Max Planck Institute for Intelligent Systems

HBW Dataset  Papers With Code

1. Introduction to Research Investigations, Producing Transportation Data Products from the American Community Survey That Comply With Disclosure Rules

HBW Dataset  Papers With Code

Polygyny is linked to accelerated birdsong evolution but not to larger song repertoires

HBW Dataset  Papers With Code

The Code4Lib Journal – Natural Language Processing in the Humanities: A Case Study in Automated Metadata Enhancement

HBW Dataset  Papers With Code

A simple dynamic model explains the diversity of island birds worldwide

HBW Dataset  Papers With Code

ResNeXt Papers With Code

HBW Dataset  Papers With Code

1. Introduction to Research Investigations, Producing Transportation Data Products from the American Community Survey That Comply With Disclosure Rules

HBW Dataset  Papers With Code

Incorporating Job Competition and Matching to an Indicator-Based Transportation Equity Analysis for Auto and Transit in Dallas-Fort Worth Area - Seyedsoheil Sharifiasl, Subham Kharel, Qisheng Pan, 2023