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Visual Learning and Recognition: Difference between revisions
Visual Learning and Recognition (view source)
Revision as of 18:09, 24 November 2020
, 24 November 2020→Will be on the exam
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* Softmax, sigmoid, cross entropy | * Softmax, sigmoid, cross entropy | ||
* RCNN vs Fast-RCNN vs Faster-RCNN | * RCNN vs Fast-RCNN vs Faster-RCNN | ||
Final exam: | |||
* Friday Dec 4, 2020 | |||
* 4pm-6pm on gradescope | |||
* Will have multiple choice, fill-in-the-blank, question answering, open-ended | |||
** Generally simple questions; either you know or you don't | |||
* No practice exams | |||
* Only need to know major names (RCNN, Fast(er)-RCNN) | |||
* Only covers lecture material. | |||
* 1 letter page of open notes, both sides allowed (honor system) | |||
Homework 2 | |||
* Released Nov 30, 2020 | |||
* Take SLIC super pixels, extract deep features and classify them. | |||
* Will have 2 bonus credits, must pick one | |||
** Use features from multiple layers (multi-scale) | |||
** Use multiple-levels of SLIC in input (SLIC feature pyramid) | |||
Final Project | |||
* Presentations Dec 10 | |||
* Recorded videos with presentations | |||
* Final reports Dec 18 | |||
==Project Notes== | ==Project Notes== | ||