Search Results for author: Zbigniew Wojna

Found 11 papers, 6 papers with code

Training DNNs in O(1) memory with MEM-DFA using Random Matrices

no code implementations21 Dec 2020 Tien Chu, Kamil Mykitiuk, Miron Szewczyk, Adam Wiktor, Zbigniew Wojna

The algorithm is based on the more biologically plausible alternatives of the backpropagation (BP): direct feedback alignment (DFA) and feedback alignment (FA), which use random matrices to propagate error.

Augmentation Inside the Network

no code implementations19 Dec 2020 Maciej Sypetkowski, Jakub Jasiulewicz, Zbigniew Wojna

We propose a modification that is 30% faster than the flip test-time augmentation and achieves the same results for CIFAR-100.

Data Augmentation Image Classification

Holistic Multi-View Building Analysis in the Wild with Projection Pooling

no code implementations23 Aug 2020 Zbigniew Wojna, Krzysztof Maziarz, Łukasz Jocz, Robert Pałuba, Robert Kozikowski, Iasonas Kokkinos

To this end, we introduce a new benchmarking dataset, consisting of 49426 images (top-view and street-view) of 9674 buildings.


Large-scale mammography CAD with Deformable Conv-Nets

no code implementations19 Feb 2019 Stephen Morrell, Zbigniew Wojna, Can Son Khoo, Sebastien Ourselin, Juan Eugenio Iglesias

State-of-the-art deep learning methods for image processing are evolving into increasingly complex meta-architectures with a growing number of modules.

Augmentation for small object detection

5 code implementations19 Feb 2019 Mate Kisantal, Zbigniew Wojna, Jakub Murawski, Jacek Naruniec, Kyunghyun Cho

We evaluate different pasting augmentation strategies, and ultimately, we achieve 9. 7\% relative improvement on the instance segmentation and 7. 1\% on the object detection of small objects, compared to the current state of the art method on

Instance Segmentation Object +3

The Devil is in the Decoder: Classification, Regression and GANs

1 code implementation18 Jul 2017 Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper Uijlings

Many machine vision applications, such as semantic segmentation and depth prediction, require predictions for every pixel of the input image.

Boundary Detection Decoder +5

Attention-based Extraction of Structured Information from Street View Imagery

3 code implementations11 Apr 2017 Zbigniew Wojna, Alex Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz

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, significantly outperforming the previous state of the art (Smith'16), which achieved 72. 46%.

Optical Character Recognition (OCR)

Semantic Instance Segmentation via Deep Metric Learning

1 code implementation30 Mar 2017 Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy

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.

Instance Segmentation Metric Learning +3

Speed/accuracy trade-offs for modern convolutional object detectors

14 code implementations CVPR 2017 Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang song, Sergio Guadarrama, Kevin Murphy

On the opposite end in which accuracy is critical, we present a detector that achieves state-of-the-art performance measured on the COCO detection task.

Ranked #220 on Object Detection on COCO test-dev (using extra training data)

Object object-detection +1

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