no code implementations • 9 Aug 2019 • Phil Ammirato, Alexander C. Berg
The Probabilistic Object Detection Challenge evaluates object detection methods using a new evaluation measure, Probability-based Detection Quality (PDQ), on a new synthetic image dataset.
1 code implementation • 13 Mar 2018 • Phil Ammirato, Cheng-Yang Fu, Mykhailo Shvets, Jana Kosecka, Alexander C. Berg
While state-of-the-art general object detectors are getting better and better, there are not many systems specifically designed to take advantage of the instance detection problem.
no code implementations • 27 Feb 2017 • Phil Ammirato, Patrick Poirson, Eunbyung Park, Jana Kosecka, Alexander C. Berg
We present a new public dataset with a focus on simulating robotic vision tasks in everyday indoor environments using real imagery.
no code implementations • 19 Sep 2016 • Patrick Poirson, Phil Ammirato, Cheng-Yang Fu, Wei Liu, Jana Kosecka, Alexander C. Berg
For applications in navigation and robotics, estimating the 3D pose of objects is as important as detection.