News: machine learning
First place!
Results for the REFUGE Retinal Fundus Glaucoma Challenge are in! First place in the Segmentation leaderboard and also in the Segmentation of Nuclei competition.
NVIDIA Pioneer Award
Dr Qi Wu (ACRV / AIML) has been awarded the prestigious for his paper 'Learning semantic concepts and order for image and sentence matching' at the Computer Vision and Pattern Recognition conference in Salt Lake City.
We're number one in VQA 2.0
A team led by Damien Teney (AIML) and Peter Anderson (ACRV, ANU, and Microsoft) has just placed first in the .
Number one in the world in Visual Question Answering again, for now
Entries for the latest close on Monday morning, and we’re currently number one amongst the entries that have been submitted thus far.
[Read more about Number one in the world in Visual Question Answering again, for now]
Number one in Semantic Segmentation
Congratulations to Zifeng Wu and Chunhua Shen on having made it to the top of the again.
AIML medical imaging technology achieves 98% in FDA trials
A ten-week pivotal clinical trial at TriCore Reference Laboratories in New Mexico during July and August 2015 tested APAS against a panel of microbiologists. C
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Number two in ImageNet Scene Parsing Challenge 2016
We’ve had another great year in the ImageNet competition.
[Read more about Number two in ImageNet Scene Parsing Challenge 2016]
A new Machine Learning result in Quantum Physics
John Bastian and Anton van den Hengel are among the authors of a just published in Nature Scientific Reports.
[Read more about A new Machine Learning result in Quantum Physics]
Great Imagenet detection results
Last week was the deadline for the ImageNet Large Scale Visual Recognition Challenge (ILSVRC 2015) large-scale object detection task. This is the primary challenge for image-based object detection. The challenge requires that you detect 200 classes of objects in a set of test images.
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