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
DODA: Diffusion for Object-detection Domain Adaptation in Agriculture
utokyo-fieldphenomics-lab/doda
•
•
The diverse and high-quality content generated by recent generative models demonstrates the great potential of using synthetic data to train downstream models.
BPJDet: Extended Object Representation for Generic Body-Part Joint Detection
hnuzhy/bpjdet
•
•
In this paper, we focus on the joint detection of human body and its parts.
DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
hnuzhy/directmhp
•
•
We present comprehensive comparisons with state-of-the-art single HPE methods on public benchmarks, as well as superior baseline results on our constructed MPHPE datasets.
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks
As a fundamental computer vision task, crowd counting plays an important role in public safety.
MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings
pl-share/mpsn
•
•
Head detection in the indoor video is an essential component of building occupancy detection.
Tracking Pedestrian Heads in Dense Crowd
PaddlePaddle/PaddleDetection
•
•
CVPR 2021
Moreover, we also propose a new head detector, HeadHunter, which is designed for small head detection in crowded scenes.
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
goodproj13/SG-Net
•
•
CVPR 2021
Video instance segmentation (VIS) is a new and critical task in computer vision.
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
we1pingyu/DSHNet
•
•
To this end, we rethink long-tailed object detection in UAV images and propose the Dual Sampler and Head detection Network (DSHNet), which is the first work that aims to resolve long-tail distribution in UAV images.
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies
The architectural modifications address three obstacles -- implementing a supervised vision and language detection method in a weakly supervised fashion, incorporating clinical referring expression natural language information, and generating high fidelity detections with map probabilities.
DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera
lehommee/DPDnet-A-robust-people-detector-using-deep-learning-with-an-overhead-depth-camera
•
•
In this paper we propose a method based on deep learning that detects multiple people from a single overhead depth image with high reliability.
