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Lecture 11: Detection and Segmentation

Fei-Fei Li & Justin Johnson & Serena YeungLecture 11 -May 10, 2017 Fei-Fei Li & Justin Johnson & Serena YeungLecture 11 -May 10, 20171 Lecture 11: Detection and SegmentationFei-Fei Li & Justin Johnson & Serena YeungLecture 11 -May 10, 2017 Fei-Fei Li & Justin Johnson & Serena YeungLecture 11 -May 10, 20172 AdministrativeMidterms being gradedPlease don t discuss midterms until next week - some students not yet takenA2 being gradedProject milestones due Tuesday 5/16 Fei-Fei Li & Justin Johnson & Serena YeungLecture 11 -May 10, 2017 HyperQuest3 Fei-Fei Li & Justin Johnson & Serena YeungLecture 11 -May 10.

Lecture 11 - 38 May 10, 2017 Input: 2 x 2 Output: 4 x 4 Input gives weight for filter Sum where output overlaps Learnable Upsampling: Transpose Convolution 3 x 3 transpose convolution, stride 2 pad 1 Filter moves 2 pixels in the output for every one pixel in the input Stride gives ratio between movement in output and

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