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Found 5 papers, 1 papers with code
Oriented Boxes for Accurate Instance Segmentation
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.
Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products
Grocery stores have thousands of products that are usually identified using barcodes with a human in the loop.
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation
Semantic amodal segmentation is a recently proposed extension to instance-aware segmentation that includes the prediction of the invisible region of each object instance.
MVTec D2S: Densely Segmented Supermarket Dataset
The dataset covers several challenges highly relevant in the field, such as a limited amount of training data and a high diversity in the test and validation sets.
Measuring the Accuracy of Object Detectors and Trackers
However, evaluating the accuracy of object detectors and trackers that are restricted to boxes on densely segmented data is not straightforward.
