A team led by Damien Teney (ACVT) and Peter Anderson (ACRV, ANU, and Microsoft) has just placed first in the VQA 2.0 challenge. Other members of the team include David Golub from Stanford, Po-Seng Huang, Lei Zhang and Xiaodong He from Microsoft, and Anton van den Hengel from ACVT.
The leaderboard is here.
Entries for the latest VQA v2 challenge close on Monday morning, and we’re currently number one amongst the entries that have been submitted thus far. There will be more submitted as the deadline approaches, but we’ll improve our performance also. So we’re not there yet, but we’re in a very good position. The task of Visual […]
Congratulations to Zifeng and Chunhua on having made it to the top of the Cityscapes leaderboard again. Cityscapes is a semantic segmentation dataset of city scenes, and a hotly contested international challenge. The challenge is to separate the pixels belonging to different classes of objects. Semantic Segmentation is one of the fundamental challenges in computer […]
We’ve had another great year in the ImageNet competition. We came 2nd in the Scene Parsing challenge, which requires pixelwise segmentation of a large set of images into 150 classes of things and stuff. The ImageNet Challenge is one of the most hotly contested challenges in Computer Vision, and is constantly updated to reflect the current […]
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