Visual Learning and Recognition: Difference between revisions

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 * Assignment 2 will be to classify superpixels.
 * Assignment 3 will be to replace RGB with deep features.
+===End-to-end Pixel-to-pixel Network===
+Develop a fully convolutional network.
+Do upsampling at the end can compute pixelwise output + loss.
+===Evaluation of Segmentation===
+* Pixel Accuracy: (% correct)
+* Class Accuracy: (% correct, averaged per class)
+* Trimap: Only evaluate at the boundaries.
+===Other segmentation tasks===
+* Foreground vs Background
+* Amodal segmentation
+** Identify the extent of object including occluded regions.
+===Region Proposals===
+Convert superpixel regions to boxes and classify boxes.
+Read: pdollar A seismic shift in object detection
 ==Will be on the exam==