computer-vision

Body Detection

3260 papers • 126 benchmarks • 313 datasets

Detection of the persons or the characters defined in the dataset.

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in body-detection

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Dataset

Best Model

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DCM

Manga109

Comic2k

Libraries

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Use these libraries to find body-detection models and implementations

Datasets

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Most implemented papers

Detector-in-Detector: Multi-Level Analysis for Human-Parts

Fuqiang Zhou, Xiaojie Li, L. Yang, Q. Song•Sat Dec 01 2018

A new framework to boost up the detection performance of the multi-level objects with region-based object detection structure with two carefully designed detectors to separately pay attention to the human body and body parts in a coarse-to-fine manner, which is called Detector-in-Detector network (DID-Net).

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Paper Graph

Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings

Deniz Yuret, Baris Batuhan Topal, T. M. Sezgin•Fri Dec 31 2021

This work shows how self-supervised learning, based on a teacher-student network with a modiﬁed student network update design, can be used to build face and body detectors and demonstrates that style transfer can be incorporated into the learning pipeline to bootstrap detectors using a vast amount of out-of-domain labeled images from natural images.

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Fast detection of slender bodies in high density microscopy data

Albert Alonso, J. B. Kirkegaard•Tue Jan 10 2023

A end-to-end deep learning approach to extract precise shape trajectories of generally motile and overlapping slender bodies applied to dense experiments of swimming nematodes is developed.

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Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding

Huayi Zhou, Fei Jiang, Jiaxin Si, Hongtao Lu•Wed Oct 26 2022

This work proposes a single-stage end-to-end trainable framework for tackling the HBOE problem with multi-persons by integrating the prediction of bounding boxes and direction angles in one embedding into the multi-scale anchor channel predictions of persons for concurrently benefiting from engaged intermediate features.

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DensePose From WiFi

F. D. L. Torre, Jiaqi Geng, Dong Huang•Fri Dec 30 2022

A deep neural network is developed that maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions and can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input.

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BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery

Safouane El Ghazouali, U. Michelucci, Loddo Fabio, Dario Piga•Tue Feb 20 2024

This research tries to produce machine learning algorithms that can perform cloud segmentation using only a few spectral bands, including RGB and RGBN-IR combinations, including RGB and RGBN-IR combinations.

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Paper Graph

Adding a benchmark result helps the community track progress.