A machine learning pipeline for automated insect monitoring
Fuente:
arXiv
Guardado en:
| Autores principales: | Jain, Aditya, Cunha, Fagner, Bunsen, Michael, Pasi, Léonard, Viklund, Anna, Larrivée, Maxim, Rolnick, David |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
OpenForest: A data catalogue for machine learning in forest monitoring
por: Ouaknine, Arthur, et al.
Publicado: (2023)
por: Ouaknine, Arthur, et al.
Publicado: (2023)
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
por: Chen, Yuyan, et al.
Publicado: (2025)
por: Chen, Yuyan, et al.
Publicado: (2025)
Insect Identification in the Wild: The AMI Dataset
por: Jain, Aditya, et al.
Publicado: (2024)
por: Jain, Aditya, et al.
Publicado: (2024)
OREHAS: A fully automated deep-learning pipeline for volumetric endolymphatic hydrops quantification in MRI
por: Fuster-Barceló, Caterina, et al.
Publicado: (2026)
por: Fuster-Barceló, Caterina, et al.
Publicado: (2026)
Tree semantic segmentation from aerial image time series
por: Ramesh, Venkatesh, et al.
Publicado: (2024)
por: Ramesh, Venkatesh, et al.
Publicado: (2024)
Multi-modal video data-pipelines for machine learning with minimal human supervision
por: Pîrvu, Mihai-Cristian, et al.
Publicado: (2025)
por: Pîrvu, Mihai-Cristian, et al.
Publicado: (2025)
AlertTrap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platform
por: Le, An D., et al.
Publicado: (2021)
por: Le, An D., et al.
Publicado: (2021)
A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras
por: Grimmer, Gauthier, et al.
Publicado: (2025)
por: Grimmer, Gauthier, et al.
Publicado: (2025)
Replication Study and Benchmarking of Real-Time Object Detection Models
por: Asselin, Pierre-Luc, et al.
Publicado: (2024)
por: Asselin, Pierre-Luc, et al.
Publicado: (2024)
FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring
por: Bountos, Nikolaos Ioannis, et al.
Publicado: (2023)
por: Bountos, Nikolaos Ioannis, et al.
Publicado: (2023)
On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data
por: Weijler, Lisa, et al.
Publicado: (2024)
por: Weijler, Lisa, et al.
Publicado: (2024)
An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications
por: Starmans, Martijn P. A., et al.
Publicado: (2021)
por: Starmans, Martijn P. A., et al.
Publicado: (2021)
An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping
por: Chavan, Rugved, et al.
Publicado: (2024)
por: Chavan, Rugved, et al.
Publicado: (2024)
Cryo-RL: automating prostate cancer cryoablation planning with reinforcement learning
por: Simangan, Trixia, et al.
Publicado: (2025)
por: Simangan, Trixia, et al.
Publicado: (2025)
Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery
por: Teng, Mélisande, et al.
Publicado: (2025)
por: Teng, Mélisande, et al.
Publicado: (2025)
Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models
por: Cepeda, Santiago, et al.
Publicado: (2024)
por: Cepeda, Santiago, et al.
Publicado: (2024)
Direct learning of home vector direction for insect-inspired robot navigation
por: Firlefyn, Michiel, et al.
Publicado: (2024)
por: Firlefyn, Michiel, et al.
Publicado: (2024)
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria
por: Schoder, Stefan
Publicado: (2023)
por: Schoder, Stefan
Publicado: (2023)
Climate Variable Downscaling with Conditional Normalizing Flows
por: Winkler, Christina, et al.
Publicado: (2024)
por: Winkler, Christina, et al.
Publicado: (2024)
Reasoning in machine vision: learning to think fast and slow
por: Saeed, Shaheer U., et al.
Publicado: (2025)
por: Saeed, Shaheer U., et al.
Publicado: (2025)
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
por: Mumuni, Alhassan, et al.
Publicado: (2024)
por: Mumuni, Alhassan, et al.
Publicado: (2024)
RainShift: A Benchmark for Precipitation Downscaling Across Geographies
por: Harder, Paula, et al.
Publicado: (2025)
por: Harder, Paula, et al.
Publicado: (2025)
How good are deep learning methods for automated road safety analysis using video data? An experimental study
por: Liu, Qingwu, et al.
Publicado: (2025)
por: Liu, Qingwu, et al.
Publicado: (2025)
JUMP: A joint multimodal registration pipeline for neuroimaging with minimal preprocessing
por: Casamitjana, Adria, et al.
Publicado: (2024)
por: Casamitjana, Adria, et al.
Publicado: (2024)
ComiCap: A VLMs pipeline for dense captioning of Comic Panels
por: Vivoli, Emanuele, et al.
Publicado: (2024)
por: Vivoli, Emanuele, et al.
Publicado: (2024)
LOBSTgER-enhance: an underwater image enhancement pipeline
por: Mentzelopoulos, Andreas, et al.
Publicado: (2026)
por: Mentzelopoulos, Andreas, et al.
Publicado: (2026)
Estimating Individual Tree Height and Species from UAV Imagery
por: Endres, Jannik, et al.
Publicado: (2026)
por: Endres, Jannik, et al.
Publicado: (2026)
An uncertainty-aware Bayesian framework for machine learning classification models: A case study in land cover classification
por: Bilson, Samuel, et al.
Publicado: (2025)
por: Bilson, Samuel, et al.
Publicado: (2025)
Drug classification based on X-ray spectroscopy combined with machine learning
por: Li, Yongming, et al.
Publicado: (2025)
por: Li, Yongming, et al.
Publicado: (2025)
Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline
por: Tafavvoghi, Masoud, et al.
Publicado: (2025)
por: Tafavvoghi, Masoud, et al.
Publicado: (2025)
Operational machine learning for remote spectroscopic detection of CH$_{4}$ point sources
por: Růžička, Vít, et al.
Publicado: (2025)
por: Růžička, Vít, et al.
Publicado: (2025)
GeoFormer: A Multi-Polygon Segmentation Transformer
por: Khomiakov, Maxim, et al.
Publicado: (2024)
por: Khomiakov, Maxim, et al.
Publicado: (2024)
Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms
por: Taher, Josef, et al.
Publicado: (2025)
por: Taher, Josef, et al.
Publicado: (2025)
A self-supervised text-vision framework for automated brain abnormality detection
por: Wood, David A., et al.
Publicado: (2024)
por: Wood, David A., et al.
Publicado: (2024)
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
por: Tseng, Gabriel, et al.
Publicado: (2023)
por: Tseng, Gabriel, et al.
Publicado: (2023)
ADHD diagnosis based on action characteristics recorded in videos using machine learning
por: Li, Yichun, et al.
Publicado: (2024)
por: Li, Yichun, et al.
Publicado: (2024)
Traffic Cameras to detect inland waterway barge traffic: An Application of machine learning
por: Agorku, Geoffery, et al.
Publicado: (2024)
por: Agorku, Geoffery, et al.
Publicado: (2024)
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification
por: Ahmadi, Mahdie, et al.
Publicado: (2024)
por: Ahmadi, Mahdie, et al.
Publicado: (2024)
A baseline for machine-learning-based hepatocellular carcinoma diagnosis using multi-modal clinical data
por: Wang, Binwu, et al.
Publicado: (2025)
por: Wang, Binwu, et al.
Publicado: (2025)
A deep learning pipeline for PAM50 subtype classification using histopathology images and multi-objective patch selection
por: Borji, Arezoo, et al.
Publicado: (2026)
por: Borji, Arezoo, et al.
Publicado: (2026)
Ejemplares similares
-
OpenForest: A data catalogue for machine learning in forest monitoring
por: Ouaknine, Arthur, et al.
Publicado: (2023) -
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
por: Chen, Yuyan, et al.
Publicado: (2025) -
Insect Identification in the Wild: The AMI Dataset
por: Jain, Aditya, et al.
Publicado: (2024) -
OREHAS: A fully automated deep-learning pipeline for volumetric endolymphatic hydrops quantification in MRI
por: Fuster-Barceló, Caterina, et al.
Publicado: (2026) -
Tree semantic segmentation from aerial image time series
por: Ramesh, Venkatesh, et al.
Publicado: (2024)