Summary
- Product area key:
hive-scanner - Total papers: 15
- Research papers hub
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Topics
- Bee Behaviour (7)
- Computer Vision (15)
- Datasets Benchmarks (3)
- Edge AI Energy (1)
Years
Papers by year
2026
- M3DANet: A Lightweight Semi-Supervised Network and Embedded System for Bee Colony Counting — 🇨🇳 Shandong Agricultural University; 🇨🇳 Apiculture Institute of Jiangxi Province
2025
- Deep Learning-Based Detection of Honey Storage Areas in Apismellifera Colonies for Predicting Physical Parameters of Honey via Linear Regression — 🇹🇭 Chiang Mai University
- Fast, accurate measurement of the worker populations of honey bee colonies using deep learning — 🇺🇸 Arizona State University; 🇺🇸 Texas A&M University–Kingsville
2022
- SLEAP: A deep learning system for multi-animal pose tracking — 🇺🇸 Princeton University; 🇺🇸 New York University; 🇺🇸 Johns Hopkins University School of Medicine
2021
- DeepLabCut-based daily behavioural and posture analysis in a cricket
- ⭐️ Markerless tracking of an entire honey bee colony — 🇯🇵 Okinawa Institute of Science and Technology Graduate University
2020
- Real-time, low-latency closed-loop feedback using markerless posture tracking — 🇺🇸 Harvard University; 🇬🇧 NeuroGEARS Ltd; 🇺🇸 University of Oregon; 🇨🇭 Swiss Federal Institute of Technology
- ⭐️ Automatic detection and classification of honey bee comb cells using deeplearning — 🇵🇹 Instituto Politécnico de Bragança; 🇧🇷 Federal Technological University of Paraná; 🇫🇷 Université Clermont-Auvergne
2019
- DeepBees – Building and Scaling Convolutional Neuronal Nets For Fast and Large-scale Visual Monitoring of Bee Hives — 🇩🇪 Karlsruhe Institute of Technology
- DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning — 🇩🇪 Max Planck Institute of Animal Behavior; 🇩🇪 University of Konstanz; 🇺🇸 Princeton University; 🇩🇪 Technische Universität München
2018
- DeepLabCut: markerless pose estimation of user-defined body parts with deep learning — 🇩🇪 Eberhard Karls Universität Tübingen; 🇺🇸 Harvard University; 🇺🇸 Columbia University; 🇩🇪 Max Planck Institute for Biological Cybernetics; 🇩🇪 Bernstein Center for Computational Neuroscience; 🇺🇸 Baylor College of Medicine
- Multiple Animals Tracking in VideoUsing Part Affinity Fields — 🇵🇷 University of Puerto Rico
- The development of honey bee coloniesassessed using a new semi-automated broodcounting method: CombCount — 🇦🇺 Macquarie University; 🇦🇺 Queensland University of Technology; 🇺🇸 Carl Hayden Bee Research Center
- Towards dense object tracking in a 2D honeybee hive — 🇯🇵 Okinawa Institute of Science and Technology Graduate University
- Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence