What do filters of Convolution Neural Network learn?
What do Convolution Neural Network filters really learn? Are they human interpretable?
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TIMESTAMPS
0:00 - Personal Note
0:29 - Introduction
2:50 - Pass 1: How do Humans classify Images?
3:57 - Pass 2: How do networks classify Images?
6:55 - Bilinear Interpolation
9:00 - Activation Function (the mask)
10:25 - Intersection over Union (IoU)
11:20 - Interesting findings from main paper
REFERENCES
[1] The main paper that talks about how object detectors come about from image classifiers: https://arxiv.org/abs/2009.05041
[2] More on upsampling techniques like Bilinear interpolation and how it compares to other techniques: https://www.quora.com/What-is-the-dif...
[3] Resizing images with bilinear interpolation @Computerphile’s video: • Resizing Images - Computerphile
[4] Places365 dataset: http://places2.csail.mit.edu/explore....
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