Transcript crcv.ucf.edu

REU Week 3
Jared Rhizor
DeconvNetToolbox
I am installing Linux to test the
DeconvNetToolbox.
I received partial results with it on Mac, but
many features are unsupported out of the
box.
I am also reviewing the paper related to the
toolbox and the code itself.
Invariances
Shift
- Easy with CNNs
- (it can learn shift invariance from unlabeled data)
Rotation
Scale
Scale and Rotation Invariance
Tiled Convolutional Neural Networks
Quoc V. Le, Jiquan Ngiam, et al.
MATLAB code is available.
This can also be used for scale invariance.
Pooling & Weight-Tying
Pre-train with TICA. Then the CNN can learn
invariant features.
Other papers also use pooling methods to
achieve invariant features with CNNs. The
approach is similar to the Tiled CNN paper.
This Week
Get the DeconvNetToolbox working and
understand its code well enough to integrate
the the Tiled CNN code.
Verify the results of each paper and then apply
the code to human detection.