This repository includes resources for The Caltech Fish Counting Dataset.
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- Introduced in The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting (ECCV 2022).
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Caltech Fish Counting – Domain Adaptive Object Detection (CFC-DAOD)
- Introduced in Align and Distill: Unifying and Improving Domain Adaptive Object Detection (Preprint 2024).
@inproceedings{cfc2022eccv,
author = {Kay, Justin and Kulits, Peter and Stathatos, Suzanne and Deng, Siqi and Young, Erik and Beery, Sara and Van Horn, Grant and Perona, Pietro},
title = {The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2022}
}
@misc{kay2024align,
title={Align and Distill: Unifying and Improving Domain Adaptive Object Detection},
author={Justin Kay and Timm Haucke and Suzanne Stathatos and Siqi Deng and Erik Young and Pietro Perona and Sara Beery and Grant Van Horn},
year={2024},
eprint={2403.12029},
archivePrefix={arXiv},
primaryClass={cs.CV}
}