This page provides you with access to data necessary to reproduce the results we reported in our paper "LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks".
We provide our datasets and also access to auxilliary data necessary to genreate your own datasets. Furthermore, we provide access to some models that we trained using the data provided here.
The first dataset we provide, is the sheep dataset that features a lawn mower with an orange sheep on top. We provide the whole dataset inluding annotations, and all files necessary to recreate the dataset.
sheep_dataset.zip consists the complete train dataset for training localizer and assessor in the respective folders.
backgrounds_templates_bboxes.zip consists all auxiliary file necessary to create the dataset.
sheep_models.zip contains two of our trained models on the sheep dataset. The first model is a
Resnet 18 based localizer that was trained on an image size of
224x224 pixels. The second model is a
Resnet 50 based localizer trained on an image size of
We also provide everything you to redo our figure skating experiments. This includes all images and also some trained models
In this section we describe the files that we uploaded for working with the figure skating dataset.
If you want to have the background images, we used for training the assessor, please download the file
figure_skating_backgrounds.zip. You can find the template images for training the assessor in the file
If you want to have the already prepared assessor train dataset, you can download the file
figure_skating_assessor_datasets.zip This includes two datasets. One dataset used for training the
Resnet 18 based localizer (
reference_iou_flipped) and one used for training the
Resnet 50 based localizer (
If you are interested in the train datasets for the localizer, you can download the datasets with and without noise if you choose the file
figure_skate_localizer_datasets.zip (file size 19GB).
Further, you can download the evaluation dataset when choosing
figure_skating_models.zip contains the best two models that we trained on the figure skating datset. The first model is a
Resnet 18 based localizer that has been trained with the noisy dataset and an output size of
50x100 pixels. The second model is a
Resnet 50 based localizer that has been trained on the dataset without noise and an output size of
We also provide the slides of our talk and the poster we presented at the "1st International Workshop on Advanced Machine Vision for Real-life and Industrially Relevant Applications". If you want to download the slides or the poster, please download the file