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A quality depth sensor, the Microsoft Kinect, is now in millions of homes. Yet robust household object detection is still not a reality. To get there, we are collecting a massive, crowd-sourced, and challenging 3-D object dataset. The dataset is available as a zip archive here. ICCV Workshop on Consumer Depth Cameras in Computer Vision 2011. Thank you for your interest.
Deep learning framework by the BVLC. Caffe is a deep learning framework made with expression, speed, and modularity in mind. Created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo. Makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day.
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Sergey Karayev is mostly a CS grad student.PARSED CONTENT
The web site states the following, "I recently finished a PhD in Computer Science at UC Berkeley, advised by Trevor Darrell." I noticed that the web site stated " I now work at Gradescope." They also said " Which allows paper-based assignments to be assessed online, enabling data-driven feedback to both students and instructors. Image style is integral to visual communication, but has received scant research attention. We gather datasets of photo and painting style, and evaluate convolutional neural nets for the task. Code and data and demo."SEE SIMILAR BUSINESSES
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