2021
Gagne, Crystal; Kini, Jyoti; Smith, Daniel; Shah, Mubarak
Florida Wildlife Camera Trap Dataset Workshop
IEEE Conference on Computer Vision and Pattern Recognition, CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop, 2021.
Tags: CVPRW, Dataset, Wildlife Preservation | Links:
@workshop{Gagne2021,
title = {Florida Wildlife Camera Trap Dataset},
author = {Crystal Gagne and Jyoti Kini and Daniel Smith and Mubarak Shah},
url = {https://www.crcv.ucf.edu/wp-content/uploads/2018/11/Projects_Florida-Wildlife-Camera-Trap-Dataset.pdf
https://www.crcv.ucf.edu/research/projects/florida-wildlife-camera-trap-dataset/},
year = {2021},
date = {2021-06-20},
urldate = {2021-06-20},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop},
keywords = {CVPRW, Dataset, Wildlife Preservation},
pubstate = {published},
tppubtype = {workshop}
}
Gagne, Crystal; Kini, Jyoti; Smith, Daniel; Shah, Mubarak
Florida Wildlife Camera Trap Dataset Workshop
IEEE Conference on Computer Vision and Pattern Recognition, CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop, 2021.
Tags: CVPRW, Dataset, Wildlife Preservation | Links:
@workshop{Gagne2021b,
title = {Florida Wildlife Camera Trap Dataset},
author = {Crystal Gagne and Jyoti Kini and Daniel Smith and Mubarak Shah},
url = {https://www.crcv.ucf.edu/wp-content/uploads/2018/11/Projects_Florida-Wildlife-Camera-Trap-Dataset.pdf
https://www.crcv.ucf.edu/research/projects/florida-wildlife-camera-trap-dataset/},
year = {2021},
date = {2021-06-20},
urldate = {2021-06-20},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop},
keywords = {CVPRW, Dataset, Wildlife Preservation},
pubstate = {published},
tppubtype = {workshop}
}
0000
Test Bachelor Thesis
0000.
Tags: Crowd Analysis, Damage Assessment, DIVA, Drone Video Analysis, EEG/Brain, Incremental Learning, Learning with Less Labels, LIDAR, Multi-Modal Learning, Noisy Labels, Open World, Out of Distribution (OOD), Privacy Preservation, Pseudo-Labeling, SAR, Self-Joint Learning, Semi-supervised learning, Tiny Actions, Video Synopsis, Video Synthesis, View-Invariance, Weakly Supervised Learning, Wildlife Preservation
@bachelorthesis{nokey_135,
title = {Test},
keywords = {Crowd Analysis, Damage Assessment, DIVA, Drone Video Analysis, EEG/Brain, Incremental Learning, Learning with Less Labels, LIDAR, Multi-Modal Learning, Noisy Labels, Open World, Out of Distribution (OOD), Privacy Preservation, Pseudo-Labeling, SAR, Self-Joint Learning, Semi-supervised learning, Tiny Actions, Video Synopsis, Video Synthesis, View-Invariance, Weakly Supervised Learning, Wildlife Preservation},
pubstate = {published},
tppubtype = {bachelorthesis}
}
Test Bachelor Thesis
0000.
Tags: Crowd Analysis, Damage Assessment, DIVA, Drone Video Analysis, EEG/Brain, Incremental Learning, Learning with Less Labels, LIDAR, Multi-Modal Learning, Noisy Labels, Open World, Out of Distribution (OOD), Privacy Preservation, Pseudo-Labeling, SAR, Self-Joint Learning, Semi-supervised learning, Tiny Actions, Video Synopsis, Video Synthesis, View-Invariance, Weakly Supervised Learning, Wildlife Preservation
@bachelorthesis{nokey_171,
title = {Test},
keywords = {Crowd Analysis, Damage Assessment, DIVA, Drone Video Analysis, EEG/Brain, Incremental Learning, Learning with Less Labels, LIDAR, Multi-Modal Learning, Noisy Labels, Open World, Out of Distribution (OOD), Privacy Preservation, Pseudo-Labeling, SAR, Self-Joint Learning, Semi-supervised learning, Tiny Actions, Video Synopsis, Video Synthesis, View-Invariance, Weakly Supervised Learning, Wildlife Preservation},
pubstate = {published},
tppubtype = {bachelorthesis}
}