555 citations · 1k across the 10 of their papers we have counts for
11 papers · 1 filter
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
Krzysztof Maziarz, Anna Krason, Zbigniew Wojna
Recent advancements in computer vision promise to automate medical image analysis. Rheumatoid arthritis is an autoimmune disease that would profit from computer-based diagnosis, as…
Training DNNs in O(1) memory with MEM-DFA using Random Matrices
Tien Chu, Kamil Mykitiuk, Miron Szewczyk +2
This work presents a method for reducing memory consumption to a constant complexity when training deep neural networks. The algorithm is based on the more biologically plausible a…
Augmentation Inside the Network
Maciej Sypetkowski, Jakub Jasiulewicz, Zbigniew Wojna
In this paper, we present augmentation inside the network, a method that simulates data augmentation techniques for computer vision problems on intermediate features of a convoluti…
Holistic Multi-View Building Analysis in the Wild with Projection Pooling
Zbigniew Wojna, Krzysztof Maziarz, Łukasz Jocz +3
We address six different classification tasks related to fine-grained building attributes: construction type, number of floors, pitch and geometry of the roof, facade material, and…
Large-scale mammography CAD with Deformable Conv-Nets
Stephen Morrell, Zbigniew Wojna, Can Son Khoo +2
State-of-the-art deep learning methods for image processing are evolving into increasingly complex meta-architectures with a growing number of modules. Among them, region-based ful…
Augmentation for small object detection
Mate Kisantal, Zbigniew Wojna, Jakub Murawski +2
In recent years, object detection has experienced impressive progress. Despite these improvements, there is still a significant gap in the performance between the detection of smal…
The Devil is in the Decoder: Classification, Regression and GANs
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama +4
Many machine vision applications, such as semantic segmentation and depth prediction, require predictions for every pixel of the input image. Models for such problems usually consi…
Attention-based Extraction of Structured Information from Street View Imagery
Zbigniew Wojna, Alex Gorban, Dar-Shyang Lee +4
We present a neural network model - based on CNNs, RNNs and a novel attention mechanism - which achieves 84.2% accuracy on the challenging French Street Name Signs (FSNS) dataset,…
Semantic Instance Segmentation via Deep Metric Learning
Alireza Fathi, Zbigniew Wojna, Vivek Rathod +4
We propose a new method for semantic instance segmentation, by first computing how likely two pixels are to belong to the same object, and then by grouping similar pixels together.…
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang, Vivek Rathod, Chen Sun +8
The goal of this paper is to serve as a guide for selecting a detection architecture that achieves the right speed/memory/accuracy balance for a given application and platform. To…
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe +2
Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become…