Research graph
References from Using semi-supervised learning to detect beluga whales from aerial image sequences. Local targets link to admitted publications; unresolved targets remain external evidence.
Localization and tracking of beluga whales in aerial video using deep learning
10.3389/fmars.2024.1445698 · 2024 · External reference
MixMatch: A holistic approach to semi-supervised learning
2019 · External reference
End-to-end object detection with transformers
2020 · External reference
Semi-supervised semantic segmentation with cross pseudo supervision
2021 · External reference
Histograms of oriented gradients for human detection
2005 · External reference
Killer whale (Orcinus orca) predation in a multi-prey system
10.1007/s10144-011-0287-0 · 2012 · External reference
Semi-supervised semantic segmentation needs strong, varied perturbations
10.5244/c.34.154 · 2020 · External reference
Benchmarking wild bird detection in complex forest scenes
2023 · External reference
Fast R-CNN
2015 · External reference
Rich feature hierarchies for accurate object detection and semantic segmentation
2014 · External reference
Drones and convolutional neural networks facilitate automated and accurate cetacean species identification and photogrammetry
10.1111/2041-210x.13246 · 2019 · External reference
Deep residual learning for image recognition
2016 · External reference
Viability of a small, geographically-isolated population of beluga whales, Delphinapterus leucas: effects of hunting, predation, and mortality events in Cook Inlet, Alaska
10.7755/mfr.77.2.3 · 2015 · External reference
Text-to-video generators: a comprehensive survey
10.1186/s40537-025-01314-3 · 2025 · External reference
Consistency-based semi-supervised learning for object detection
2019 · External reference
Unresolved reference
External reference
Current and future patterns of global marine mammal biodiversity
10.1371/journal.pone.0019653 · 2012 · External reference
Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning
10.1016/j.rse.2018.06.028 · 2018 · External reference
Half a percent of labels is enough: Efficient animal detection in UAV imagery using deep CNNs and active learning
10.1109/tgrs.2019.2927393 · 2019 · External reference
FishNet: A large-scale dataset and benchmark for fish recognition, detection, and functional trait prediction
2023 · External reference
Focal loss for dense object detection
2017 · External reference
SSD: Single shot multibox detector
2016 · External reference
Diet and feeding observations from an unusual beluga harvest in 2014 near Ulukhaktok, Northwest Territories, Canada
10.1139/as-2017-0046 · 2018 · External reference
Decoupled weight decay regularization
2019 · External reference
Conditional DETR for fast training convergence
2021 · External reference
Marine mammals as ecosystem sentinels
10.1644/07-mamm-s-312r1.1 · 2019 · External reference
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
10.1073/pnas.1719367115 · 2018 · External reference
DINOv2: Learning robust visual features without supervision
2023 · External reference
An overview of deep semi-supervised learning
2020 · External reference
You only look once: Unified, real-time object detection
2016 · External reference
Faster R-CNN: Towards real-time object detection with region proposal networks
10.1109/tpami.2016.2577031 · 2017 · External reference
ImageNet large scale visual recognition challenge
10.1007/s11263-015-0816-y · 2015 · External reference
Animal detection and classification from camera trap images using different mainstream object detection architectures
2020 · External reference
Deep learning object detection methods for ecological camera trap data
2019 · External reference
Boosting tiger re-ID with 360 video generation: A generative synthesis approach
2023 · External reference
FixMatch: Simplifying semi-supervised learning with consistency and confidence
2020 · External reference
Humble teachers teach better students for semisupervised object detection
2021 · External reference
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
2017 · External reference
Perspectives in machine learning for wildlife conservation
10.1038/s41467-022-27980-y · 2022 · External reference
Unresolved reference
External reference
A survey on semi-supervised learning
10.1007/s10994-019-05855-6 · 2020 · External reference
A computer vision for animal ecology
10.1111/1365-2656.12780 · 2018 · External reference
End-to-end semi-supervised object detection with soft teacher
2021 · External reference
DINO: DETR with improved denoising anchor boxes for end-to-end object detection
2023 · External reference
Semi-DETR: Semi-supervised object detection with detection transformers
2023 · External reference
ByteTrack: Multi-object tracking by associating every detection box
2022 · External reference
Semi-supervised learning literature survey
2005 · External reference
Deformable DETR: Deformable transformers for end-to-end object detection
2021 · External reference
