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Ross Girshick

Tsung-Yi Lin. Cornell Tech. Deva Ramanan. James Hays. Larry Zitnick. Pietro Perona. Serge Belongie. Piotr Dollar. Michael Maire. Lubomir Bourdev. Facebook. Microsoft Research. UC Irvine. Microsoft Research. Brown University. Cornell Tech. TTI Chicago. Caltech. Ross Girshick.

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Ross Girshick

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  1. Tsung-Yi Lin Cornell Tech Deva Ramanan James Hays Larry Zitnick Pietro Perona Serge Belongie Piotr Dollar Michael Maire Lubomir Bourdev Facebook Microsoft Research UC Irvine Microsoft Research Brown University Cornell Tech TTI Chicago Caltech Ross Girshick Microsoft Research

  2. Instance segmentation • Non-iconic Images

  3. Non-iconic images

  4. Beyond detection • Sentences Collecting Image Annotations Using Amazon’s Mechanical Turk, C. Rashtchian, P. Young, M. Hodosh, J. Hockenmaier, NAACL HLT Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk, 2010

  5. Beyond detection • Keypoints (provided by Facebook)

  6. http://mscoco.org

  7. MS COCO 2014 release(half of COCO) Over 77,000 worker hours (8+ years) • 160k images • 80 object categories (things not stuff) • 1M+ instances (300k people) • Every instance segmented • 5 sentences per image • Separate train and validation set

  8. MS COCO 2015(full release) Early 2015 • 80-100 object categories • 330k images • 2M+ instances (700k people) • Every instance segmented • 5 sentences per image • Keypoint annotations http://mscoco.org

  9. http://mscoco.org

  10. Algorithm Evaluation • Still debating… • The metric should be: • Simple • Relevant • Robust • IoU on the segmentations • Small objects • % contour • Scores that work for bboxes and segmentations • Types of instances? • Leaderboard • Challenge?

  11. Visit mscoco.org Tsung-Yi Lin Cornell Tech James Hays Larry Zitnick LubomirBourdev PietroPerona Serge Belongie Michael Maire Piotr Dollar Deva Ramanan Microsoft Research UC Irvine Caltech Facebook Cornell Tech TTI Chicago Brown University Microsoft Research Ross Girshick Microsoft Research

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