activity
20122017
most citedFine-grained Recognition Datasets for Biodiversity Analysis

33 citations · 34 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2017

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues

Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb +19

Evaluating expression of the Human epidermal growth factor receptor 2 (Her2) by visual examination of immunohistochemistry (IHC) on invasive breast cancer (BCa) is a key part of th…

cs.CV2016

Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural Networks

Clemens-Alexander Brust, Sven Sickert, Marcel Simon +2

Neural networks and especially convolutional neural networks are of great interest in current computer vision research. However, many techniques, extensions, and modifications have…

cs.CV201533 cited

Fine-grained Recognition Datasets for Biodiversity Analysis

Erik Rodner, Marcel Simon, Gunnar Brehm +3

In the following paper, we present and discuss challenging applications for fine-grained visual classification (FGVC): biodiversity and species analysis. We not only give details a…

cs.CV2015

Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding

Clemens-Alexander Brust, Sven Sickert, Marcel Simon +2

Classifying single image patches is important in many different applications, such as road detection or scene understanding. In this paper, we present convolutional patch networks,…

cs.CV20121 cited

Visual Transfer Learning: Informal Introduction and Literature Overview

Erik Rodner

Transfer learning techniques are important to handle small training sets and to allow for quick generalization even from only a few examples. The following paper is the introductio…