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Visual Learning and Recognition: Difference between revisions
Visual Learning and Recognition (view source)
Revision as of 17:45, 20 October 2020
, 20 October 2020→Diagnosing Object Detection Results
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* Top false positives: Airplane (DPM), Animals, Vehicles | * Top false positives: Airplane (DPM), Animals, Vehicles | ||
* Analysis of object characteristics: occlusion level, parts visible, sides visible on DPM | |||
** High occlusion hurs performance | |||
** Extra small and extra large objects are really bad | |||
** Tall aspect ratios have bad performance | |||
** Certain sides and parts visible can affect performance. | |||
** Deep learning methods do not make as much mistakes on similar objects. | |||
* TIDE: Analyze different error types | |||
==Will be on the exam== | ==Will be on the exam== | ||