Head Detection
16 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Head Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
MinneApple
SCUT-HEAD
Latest papers
Towards in-store multi-person tracking using head detection and track heatmaps
In addition, we describe an illustrative example of the use of this dataset for tracking participants based on a head tracking model in an effort to minimize errors due to occlusion.
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods
p2irc/UDA4POC
•
•
Detection of wheat heads is an important task allowing to estimate pertinent traits including head population density and head characteristics such as sanitary state, size, maturity stage and the presence of awns.
RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices
2023-MindSpore-1/ms-code-216
•
•
Therefore, high efficiency object detectors on CPU-only devices are urgently-needed in industry.
Relational Learning for Joint Head and Human Detection
Head and human detection have been rapidly improved with the development of deep convolutional neural networks.
FCHD: Fast and accurate head detection in crowded scenes
aditya-vora/FCHD-Fully-Convolutional-Head-Detector
•
•
In this paper, we propose FCHD-Fully Convolutional Head Detector, an end-to-end trainable head detection model.
Context-aware CNNs for person head detection
aosokin/cnn_head_detection
•
•
ICCV 2015
First, we leverage person-scene relations and propose a Global CNN model trained to predict positions and scales of heads directly from the full image.
