The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object
Tracking and Counting

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting

19 July 2022

Suzanne Stathatos

Papers citing "The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting"

8 / 8 papers shown

Title
Align and Distill: Unifying and Improving Domain Adaptive Object Detection Justin Kay T. Haucke Suzanne Stathatos Siqi Deng Erik Young Pietro Perona Sara Beery Grant Van Horn 51 4 0 18 Mar 2024
Low-power, Continuous Remote Behavioral Localization with Event Cameras Friedhelm Hamann Suman Ghosh Ignacio Juarez Martinez Tom Hart Alex Kacelnik Guillermo Gallego 17 7 0 06 Dec 2023
AnuraSet: A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring Juan Sebastián Canas Maria Paula Toro-Gómez L. S. M. Sugai H. Benítez-Restrepo J. Rudas ... José Luiz Massao Moreira Sugai Carolina Emília dos Santos R. Bastos Diego Llusia J. Ulloa 26 18 0 11 Jul 2023
ByteTrack: Multi-Object Tracking by Associating Every Detection Box Yifu Zhang Pei Sun Yi-Xin Jiang Dongdong Yu Fucheng Weng Zehuan Yuan Ping Luo Wenyu Liu Xinggang Wang VOT 99 1,317 0 13 Oct 2021
The 5th AI City Challenge M. Naphade Shuo Wang D. Anastasiu Zheng Tang Ming-Ching Chang ... C. López Anuj Sharma Qi Feng Vitaly Ablavsky Stan Sclaroff 40 85 0 25 Apr 2021
MOT20: A benchmark for multi object tracking in crowded scenes Patrick Dendorfer Hamid Rezatofighi Anton Milan Javen Qinfeng Shi Daniel Cremers Ian Reid Stefan Roth Konrad Schindler Laura Leal-Taixé VOT 166 629 0 19 Mar 2020
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning B. Kellenberger Diego Marcos D. Tuia 24 261 0 29 Jun 2018
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 223 3,451 0 21 Mar 2017