1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2019
A Mask-RCNN Baseline for Probabilistic Object Detection
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…
cs.CV2018
Target Driven Instance Detection
Phil Ammirato, Cheng-Yang Fu, Mykhailo Shvets +2
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.…
cs.CV2017★ 1 cited
A Dataset for Developing and Benchmarking Active Vision
Phil Ammirato, Patrick Poirson, Eunbyung Park +2
We present a new public dataset with a focus on simulating robotic vision tasks in everyday indoor environments using real imagery. The dataset includes 20,000+ RGB-D images and 50…