HBW Dataset Papers With Code

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.

A simple dynamic model explains the diversity of island birds worldwide

Prediction method of longitudinal surface settlement caused by double shield tunnelling based on deep learning

From Codabar to ISBT 128: Implementing Barcode Technology in Blood BankAutomation System

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

Researchers From ETH Zurich And Microsoft Propose X-Avatar:, 41% OFF

PDF) Study of Multi-Classification of Advanced Daily Life Activities on SHIMMER Sensor Dataset

arxiv-sanity

MVPAlab: A machine learning decoding toolbox for multidimensional electroencephalography data - ScienceDirect

UAVVaste Dataset Papers With Code

Machine Learning Datasets

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

NQ (BEIR) Benchmark (Question Answering)

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