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Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors
18 April 2020
Peri Akiva
Kristin J. Dana
Peter Oudemans
Michael Mars
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Papers citing
"Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors"
19 / 19 papers shown
Reproducible Evaluation of Data Augmentation and Loss Functions for Brain Tumor Segmentation
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154
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08 Oct 2025
The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning
International Conference on Engineering, Technology and Innovation (ICETI), 2025
M. L. Mekhalfi
P. Chippendale
Fabio Poiesi
Samuele Bonecher
Gilberto Osler
Nicola Zancanella
269
0
0
13 May 2025
Accurate Crop Yield Estimation of Blueberries using Deep Learning and Smart Drones
H. Nguyen
Brandon McHenry
Thanh Nguyen
Harper Zappone
Anthony Thompson
Chau Tran
Anthony Segrest
Luke Tonon
190
3
0
04 Jan 2025
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Faith Johnson
Ryan Meegan
Jack Lowry
Peter Oudemans
Kristin J. Dana
294
1
0
12 Dec 2024
Wild Berry image dataset collected in Finnish forests and peatlands using drones
Luigi Riz
Sergio Povoli
Andrea Caraffa
Davide Boscaini
M. L. Mekhalfi
...
Elisa Castelli
Giacomo Piccinini
L. Marchesotti
Micael S. Couceiro
Fabio Poiesi
489
2
0
13 May 2024
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion
Shuai Xiang
Pieter M. Blok
James Burridge
Haozhou Wang
Wei Guo
536
0
0
27 Mar 2024
A Fixed-Point Approach to Unified Prompt-Based Counting
AAAI Conference on Artificial Intelligence (AAAI), 2024
Wei Lin
Antoni B. Chan
297
10
0
15 Mar 2024
Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
Artificial Intelligence in Agriculture (AIA), 2023
Ranjan Sapkota
Dawood Ahmed
Manoj Karkee
390
71
0
13 Dec 2023
S
3
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3
AD: Semi-supervised Small Apple Detection in Orchard Environments
Robert Johanson
Christian Wilms
Ole Johannsen
Simone Frintrop
359
10
0
08 Nov 2023
Vision-Based Cranberry Crop Ripening Assessment
Faith Johnson
Jack Lowry
Kristin J. Dana
Peter Oudemans
226
0
0
31 Aug 2023
Detecting Olives with Synthetic or Real Data? Olive the Above
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Yianni Karabatis
Xiao-sheng Lin
N. Sanket
M. Lagoudakis
Yiannis Aloimonos
262
4
0
16 Aug 2023
AGI for Agriculture
Guoyu Lu
Sheng Li
Gengchen Mai
Jin Sun
Dajiang Zhu
...
R. Xu
Daniel Petti
Changying Li
Tianming Liu
Changying Li
AI4CE
244
22
0
12 Apr 2023
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision
Computer Vision and Pattern Recognition (CVPR), 2023
Xinyi Ying
Li Liu
Yingqian Wang
Ruojing Li
Polydoros Giannouris
Zaiping Lin
Weidong Sheng
Shilin Zhou
306
116
0
04 Apr 2023
Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species
IEEE Robotics and Automation Letters (RA-L), 2022
Abubakar Siddique
A. Tabb
Henry Medeiros
SSL
211
13
0
10 Sep 2022
Learning with Weak Annotations for Robust Maritime Obstacle Detection
Italian National Conference on Sensors (INS), 2022
Lojze Žust
Matej Kristan
281
4
0
27 Jun 2022
Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding
Lojze Žust
Matej Kristan
UQCV
176
12
0
01 Aug 2021
Towards Single Stage Weakly Supervised Semantic Segmentation
Peri Akiva
Kristin J. Dana
339
10
0
18 Jun 2021
AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk
Peri Akiva
Benjamin Planche
Aditi Roy
Kristin J. Dana
Peter Oudemans
Michael Mars
230
10
0
08 Nov 2020
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Peri Akiva
Matthew Purri
Kristin J. Dana
B. Tellman
Tyler Anderson
292
34
0
11 Oct 2020
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