News: challenge
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.
World's best Coco
The Microsoft COCO Captioning Challenge is designed to spur the development of algorithms producing image captions that are informative and accurate.
AIML semantic image segmentation technique tops the PASCAL VOC Challenge
Researchers at AIML (formerly ACVT) have developed new “Deep Structured Learning” techniques that set up the new state-of-the-art semantic image segmentation record in the PASCAL VOC Challenge, which is organised by Oxford University. Semantic image segmentation is one of the tasks and probably the most challenging one, which is to label each pixel in images.
[Read more about AIML semantic image segmentation technique tops the PASCAL VOC Challenge]
Canon Extreme Imaging Competition
CiSRA, Canon’s Australian research facility, has recently announced the launch of Canon’s new “Extreme Imaging” competition. This prize is open to student projects and their supervisors at Australian Universities.
