Head Detection
16 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Head Detection
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MinneApple
SCUT-HEAD
Latest papers with no code
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting
To help mitigate this data collection bottleneck in wheat breeding, we propose a novel deep learning framework to accurately and efficiently count wheat heads to aid in the gathering of real-time data for decision making.
A Practical Framework for ROI Detection in Medical Images -- a case study for hip detection in anteroposterior pelvic radiographs
Thus, we proposed a practical framework of ROIs detection in medical images, with a case study for hip detection in anteroposterior (AP) pelvic radiographs.
An original framework for Wheat Head Detection using Deep, Semi-supervised and Ensemble Learning within Global Wheat Head Detection (GWHD) Dataset
We emphasize on optimizing the performance of our proposed final architectures.
Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head
To the best of our knowledge, this study is the first research on the prospective use of a deep learning-based diagnosis system for AVNFH by conducting two pilot studies representing real-world application scenarios.
Gun Source and Muzzle Head Detection
We have interesting results both in bounding the shooter as well as detecting the gun smoke.
Semantic Head Enhanced Pedestrian Detection in a Crowd
Pedestrian detection in the crowd is a challenging task because of intra-class occlusion.
Segmentation is All You Need
Region proposal mechanisms are essential for existing deep learning approaches to object detection in images.
A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications
Detecting faces and heads appearing in video feeds are challenging tasks in real-world video surveillance applications due to variations in appearance, occlusions and complex backgrounds.
Geometry-Based Multiple Camera Head Detection in Dense Crowds
This paper addresses the problem of head detection in crowded environments.
Detecting Heads using Feature Refine Net and Cascaded Multi-Scale Architecture
To improve the performance of small head detection, we propose a cascaded multi-scale architecture which has two detectors.
