8 citations · 10 across the 3 of their papers we have counts for
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cs.CV2019
DISCOMAN: Dataset of Indoor SCenes for Odometry, Mapping And Navigation
Pavel Kirsanov, Airat Gaskarov, Filipp Konokhov +7
We present a novel dataset for training and benchmarking semantic SLAM methods. The dataset consists of 200 long sequences, each one containing 3000-5000 data frames. We generate t…
cs.CV2019
AdaptIS: Adaptive Instance Selection Network
Konstantin Sofiiuk, Olga Barinova, Anton Konushin
We present Adaptive Instance Selection network architecture for class-agnostic instance segmentation. Given an input image and a point , it generates a mask for the object…