22k citations · 25.7k across the 25 of their papers we have counts for
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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…
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things
Cheng-Yang Fu, Tamara L. Berg, Alexander C. Berg
In this work, we present a new operator, called Instance Mask Projection (IMP), which projects a predicted Instance Segmentation as a new feature for semantic segmentation. It also…
Low-Power Computer Vision: Status, Challenges, Opportunities
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg +41
Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile…
Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution
Chen Feng, Tao Sheng, Zhiyu Liang +9
The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual competition started in 2015 that encourages joint hardware and software solutions for computer vision systems wi…
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
Cheng-Yang Fu, Mykhailo Shvets, Alexander C. Berg
Recently two-stage detectors have surged ahead of single-shot detectors in the accuracy-vs-speed trade-off. Nevertheless single-shot detectors are immensely popular in embedded vis…