idtracker.ai: Tracking all individuals in large collectives of unmarked animals
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Mattia G. Bergomi | Gonzalo G. de Polavieja | Mattia G. Bergomi | Francisco Romero-Ferrero | Francisco J. H. Heras | Robert Hinz | G. D. de Polavieja | Francisco J. H. Heras | Francisco Romero-Ferrero | R. Hinz
[1] Xi En Cheng,et al. Zebrafish tracking using convolutional neural networks , 2017, Scientific Reports.
[2] Mj Rasch,et al. Closing the loop: tracking and perturbing behaviour of individuals in a group in real-time , 2016, bioRxiv.
[3] Hanqing Zhang,et al. ToxId: an efficient algorithm to solve occlusions when tracking multiple animals , 2017, Scientific Reports.
[4] Nicole Rusk. Deep learning , 2015, Nature Methods.
[5] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[6] Sandra Martins,et al. Toward an Integrated Zebrafish Health Management Program Supporting Cancer and Neuroscience Research. , 2016, Zebrafish.
[7] Vicenç Quera,et al. A method for resolving occlusions when multitracking individuals in a shoal , 2015, Behavior research methods.
[8] A. Pérez-Escudero,et al. idTracker: tracking individuals in a group by automatic identification of unmarked animals , 2014, Nature Methods.
[9] Yan Qiu Chen,et al. Robust tracking of fish schools using CNN for head identification , 2017, Multimedia Tools and Applications.
[10] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[11] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[12] Guy Theraulaz,et al. Domino-like propagation of collective U-turns in fish schools , 2017, bioRxiv.