3 papers
cs.CV2018
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…
cs.CV2018
Subpixel-Precise Tracking of Rigid Objects in Real-time
Tobias Böttger, Markus Ulrich, Carsten Steger
We present a novel object tracking scheme that can track rigid objects in real time. The approach uses subpixel-precise image edges to track objects with high accuracy. It can dete…
cs.CV2018
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…