4 papers
Oriented Boxes for Accurate Instance Segmentation
Patrick Follmann, Rebecca König
State-of-the-art instance-aware semantic segmentation algorithms use axis-aligned bounding boxes as an intermediate processing step to infer the final instance mask output. This of…
Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products
Patrick Follmann, Bertram Drost, Tobias Böttger
Grocery stores have thousands of products that are usually identified using barcodes with a human in the loop. For automated checkout systems, it is necessary to count and classify…
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation
Patrick Follmann, Rebecca König, Philipp Härtinger +1
Semantic amodal segmentation is a recently proposed extension to instance-aware segmentation that includes the prediction of the invisible region of each object instance. We presen…
MVTec D2S: Densely Segmented Supermarket Dataset
Patrick Follmann, Tobias Böttger, Philipp Härtinger +2
We introduce the Densely Segmented Supermarket (D2S) dataset, a novel benchmark for instance-aware semantic segmentation in an industrial domain. It contains 21,000 high-resolution…