This paper proposes a deep learning approach, the Faster- RCNN algorithm, to count fur seals on the Alejandro Selkirk Island using drone images. Using a semi- ...
Jul 26, 2024 · This paper presents a new algorithm called Weighted Centers of Confidence Selection that increases the precision using a confidence-weighted ...
This paper proposes a deep learning approach, the Faster- RCNN algorithm, to count fur seals on the Alejandro Selkirk Island using drone images. Using a semi- ...
Semi-supervised deep learning for estimating fur seal numbers. 20232023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ) ...
Semi-Supervised Deep Learning for Estimating Fur Seal Numbers · Interpreting CNN models for musical instrument recognition using multi-spectrogram heatmap ...
Sep 10, 2024 · Renato Borras-Chavez: Semi-Supervised Deep Learning for Estimating Fur Seal Numbers. IVCNZ 2023: 1-5. [+][–]. 2010 – 2019. FAQ. see FAQ. What is ...
Semi-supervised deep learning for estimating fur seal numbers. 20232023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ) ...
Feb 5, 2024 · In this paper, we propose the semi-supervised deep learning using pseudo-labels (SDLP) algorithm to overcome the issue of insufficient training data.
Missing: Fur Seal
We demonstrate the process of testing images from RPAs for estimating the abundance of Australian fur seals (Arctocephalus pusillus doriferus)
Abstract: The manual describes techniques and methods developed for collecting and processing data and material for various research projects conducted on ...