{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Beaver_01\n", "\n", "| Approach | Configuration | Best AUC | TNR @TPR $\\geq$ 0.9 | TNR @TPR $\\geq$ 0.99 |\n", "| --- | --- | ---: | ---: | ---: |\n", "| 1a - Basic Frame Differencing | abs var | 0.7415 | 0.4865 | 0.2432 |\n", "| | $\\sigma=2$, sq var | 0.8986 | 0.7162 | 0.5270 |\n", "| | $\\sigma=4$, sq var | 0.9156 | 0.7973 | 0.5676 |\n", "| 1b - Histogram Comparison | p-mean | 0.6707 | | |\n", "| 2 - Background Estimation | no lapse, sq var | 0.7897 | 0.6622 | 0.2703 |\n", "| | $\\sigma=2$, no lapse, sq var | 0.8735 | 0.7973 | 0.4865 |\n", "| | $\\sigma=4$, no lapse, sq var | 0.8776 | 0.7838 | 0.4459 |\n", "| 3 - BOW | $k=2048, kp=30$ | 0.7741 | 0.4976 | 0.0564 |\n", "| 4 - Autoencoder | Deep +Noise +Sparse KDE | 0.9209 | 0.8514 | 0.1216 |" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "## Marten_01\n", "teilannotiert!\n", "\n", "| Approach | Configuration | Best AUC | TNR @TPR>0.9 | TNR @TPR>0.99 |\n", "| --- | --- | ---: | ---: | ---: |\n", "| 1a - Basic Frame Differencing | sq var | 0.9854 | | |\n", "| | $\\sigma = 2$, sq var | 1.0000 | 1.0000 | 1.0000 |\n", "| | $\\sigma = 4$, sq var | 1.0000 | 1.0000 | 1.0000 |\n", "| 2 - Background Estimation | No Lapse | 0.5832 | | |\n", "| 3 - BOW | $k=1024, kp=30$ | 0.7099 | | |\n", "| 4 - Autoencoder | Deep +Noise +Sparse KDE | 1.0000 | | |" ] }, { "cell_type": "markdown", "metadata": {}, "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.10.4 ('pytorch-gpu')", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.4" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "17cd5c528a3345b75540c61f907eece919c031d57a2ca1e5653325af249173c9" } } }, "nbformat": 4, "nbformat_minor": 2 }