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04/28/2021
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
Recent advancements in computer vision promise to automate medical image...
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12/21/2020
Training DNNs in O(1) memory with MEM-DFA using Random Matrices
This work presents a method for reducing memory consumption to a constan...
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12/19/2020
Augmentation Inside the Network
In this paper, we present augmentation inside the network, a method that...
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08/23/2020
Holistic Multi-View Building Analysis in the Wild with Projection Pooling
We address six different classification tasks related to fine-grained bu...
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02/19/2019
Large-scale mammography CAD with Deformable Conv-Nets
State-of-the-art deep learning methods for image processing are evolving...
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02/19/2019
Augmentation for small object detection
In recent years, object detection has experienced impressive progress. D...
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07/18/2017
The Devil is in the Decoder
Many machine vision applications require predictions for every pixel of ...
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03/30/2017
Semantic Instance Segmentation via Deep Metric Learning
We propose a new method for semantic instance segmentation, by first com...
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11/30/2016
Speed/accuracy trade-offs for modern convolutional object detectors
The goal of this paper is to serve as a guide for selecting a detection ...
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12/02/2015