Head Detection

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (49 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Tracking Pedestrian Heads in Dense Crowd
  24 Mar 2021 4 repositories listed
  Moreover, we also propose a new head detector, HeadHunter, which is designed for small head detection in crowded scenes.
• 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
  25 Apr 2020 4 repositories listed
  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.
• DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera
  1 Jun 2020 2 repositories listed
  In this paper we propose a method based on deep learning that detects multiple people from a single overhead depth image with high reliability.
• FCHD: Fast and accurate head detection in crowded scenes
  24 Sep 2018 2 repositories listed
  In this paper, we propose FCHD-Fully Convolutional Head Detector, an end-to-end trainable head detection model.
• VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset
  25 Jul 2024 1 repository listed
  Here, we introduce \method -- a large-scale synthetic dataset generated with diffusion models for human head detection and 3D mesh estimation.
• Autoencoder based approach for the mitigation of spurious correlations
  27 Jun 2024 1 repository listed
  Deep neural networks (DNNs) have exhibited remarkable performance across various tasks, yet their susceptibility to spurious correlations poses a significant challenge for out-of-distribution (OOD) generalization.
• DODA: Diffusion for Object-detection Domain Adaptation in Agriculture
  27 Mar 2024 1 repository listed
  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
  21 Apr 2023 1 repository listed
  In this paper, we focus on the joint detection of human body and its parts.
• Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping
  1 Mar 2023 1 repository listed
  We studied the effects of the domain of the pretraining (source) dataset on the downstream performance and the influence of redundancy in the pretraining dataset on the quality of learned representations.
• DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
  2 Feb 2023 1 repository listed
  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
  22 Dec 2022 1 repository listed
  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
  7 Oct 2021 1 repository listed
  Head detection in the indoor video is an essential component of building occupancy detection.
• SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
  18 Mar 2021 1 repository listed
  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
  7 Nov 2020 1 repository listed
  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
  31 Jul 2020 1 repository listed
  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…
• Towards in-store multi-person tracking using head detection and track heatmaps
  16 May 2020 1 repository listed
  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.
• RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices
  20 Nov 2019 1 repository listed
  Therefore, high efficiency object detectors on CPU-only devices are urgently-needed in industry.
• Relational Learning for Joint Head and Human Detection
  24 Sep 2019 1 repository listed
  Head and human detection have been rapidly improved with the development of deep convolutional neural networks.
• Context-aware CNNs for person head detection
  24 Nov 2015 1 repository listed
  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.