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Number 1 in Semantic Segmentation

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 […]

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We beat Google at ImageNet Detection

The ImageNet Object Detection results are out, and we did extremely well! We place 4th, behind Microsoft, Qualcomm, and Chinese University of Hong Kong, but ahead of Google, Intel, and Tencent. This is all the more impressive as we had a fraction of the computing resources of these competitors.

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