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 |
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MinneApple
SCUT-HEAD
Latest papers with no code
Modified CycleGAN for the synthesization of samples for wheat head segmentation
Using this approach, we developed a realistic annotated synthetic dataset for wheat head segmentation.
Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection
Head detection provides distribution information of pedestrian, which is crucial for scene statistical analysis, traffic management, and risk assessment and early warning.
Wheat Head Counting by Estimating a Density Map with Convolutional Neural Networks
The WHCNets are composed of two major components: a convolutional neural network (CNN) as the front-end for wheat head image feature extraction and a CNN with skip connections for the back-end to generate high-quality density maps.
An Intuitive and Unconstrained 2D Cube Representation for Simultaneous Head Detection and Pose Estimation
Most recent head pose estimation (HPE) methods are dominated by the Euler angle representation.
Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images
The automatic detection and localization of anatomical features in retinal imaging data are relevant for many aspects.
Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning
We first propose a graph attention self-supervised learning algorithm (GASSL) to detect the HUAVs of a single UAV cluster, where the GASSL can fit the IFS at the same time.
MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection
The false positive reduction module significantly decreases the average number of candidates generated per scan by 68. 11% and the false discovery rate by 13. 48%, which is promising to reduce distracted proposals for the downstream tasks based on the detection results.
Talking Detection In Collaborative Learning Environments
Our approach uses head detection and projections of the log-magnitude of optical flow vectors to reduce the problem to a simple classification of small projection images without the need for training complex, 3-D activity classification systems.
Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods
We now release a new version of the Global Wheat Head Detection (GWHD) dataset in 2021, which is bigger, more diverse, and less noisy than the 2020 version.
Global Wheat Challenge 2020: Analysis of the competition design and winning models
Data competitions have become a popular approach to crowdsource new data analysis methods for general and specialized data science problems.
