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Abstract arXiv:1611.05431v2 [cs.CV] 11 Apr 2017
arxiv.orgarXiv:1611.05431v2 [cs.CV] 11 Apr 2017. tors — the filter numbers and sizes are tailored for each individual transformation, and the modules are customized stage-by-stage. Although careful combinations of these ... conv3 28 2 6 4 1 1, 128 3 3, 128 1 1, 512 3 7 5 4 2 6 4 1 1, 256 3 3, 256, C=32 1 1, 512 3 7 4 conv4 14 2 6 4 1 1, 256 33, 256 1 ...
Andrew G. Howard Menglong Zhu Bo Chen Dmitry ... - arXiv
arxiv.orginclude structured transform networks [28] and deep fried convnets [37]. A different approach for obtaining small networks is shrinking, factorizing or compressing pretrained networks. Compression based on product quantization [36], hashing 1 arXiv:1704.04861v1 [cs.CV] 17 Apr 2017