Day-37 Computer Vision Learning IGCNet / IGCV1 — Interleaved Group Convolutions (Image Classification) by Microsoft Research and University of Central Florida Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 It is published in 2017 #ICCV , which has already got over 1376 citations 🔸 With the novel Interleaved Group Convolutions, IGCV1 outperforms state-of-the-art approaches such as ResNet with fewer number of parameters and fewer number of FLOPs. 🔸 Later author has published more two IGCV2, IGCV3 ------------------------------------------------------------------- ð—”ð—ºð—®ð˜‡ð—¶ð—»ð—´ ð—¥ð—²ð˜€ð—²ð—®ð—¿ð—°ð—µ : https://lnkd.in/eprHm7P Tensorflow : https://lnkd.in/e_sUxXm PyTorch : https://bit.ly/3cMOQf5 ------------------------------------------------------------------- ð—œð— ð—£ð—¢ð—¥ð—§ð—”ð—¡ð—–𗘠🔸 It outperforms NIN, Highway, FractalNet, ResNet, Pre-Activation ResNet, Stochastic Depth, WRN, RiR, Xception, DenseNet, ResNeXt 🔸IGCV1 is split into primary group convolutions and secondary group convolutions and there are permutation before and after secondary group convolutions. #computervision #artificialintelligence #data
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I am very much eager to follow your work from Day 1. Keep up the good work.