An Improved EfficientNetV2 Model Based on Visual Attention Mechanism: Application to Identification of Cassava Disease

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Hardware and software</td><td class="align_center">Characteristics</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Memory</td><td class="align_center">11 Gb</td></tr><tr><td class="align_left">Processor</td><td class="align_center">Intel(R) Core(TM) i7-7800X CPU @ 3.50 GHz</td></tr><tr><td class="align_left">Graphics</td><td class="align_center">NVIDIA GeForce GTX 1080 Ti <svg height="8.69875pt" id="M77" style="vertical-align:-0.3499298pt" version="1.1" viewbox="-0.0498162 -8.34882 14.0226 8.69875" width="14.0226pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M528 54L331 254L528 455L492 493L294 291L96 493L60 455L257 254L60 54L96 16L294 217L492 16L528 54Z"></path></g><g transform="matrix(.013,0,0,-0.013,7.631,0)"><path d="M412 140C382 77 369 73 315 73H129L270 222C362 320 402 379 402 466C402 571 322 635 234 635C177 635 130 609 99 576L42 495L64 475C90 514 133 568 201 568C274 568 318 519 318 435C318 349 255 267 193 193C144 135 87 78 32 23V0H405C417 45 427 89 440 131L412 140Z"></path></g></svg></td></tr><tr><td class="align_left">Operating system</td><td class="align_center">Ubuntu 18.04; Python 3.8; PyTorch 1.80</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Basic machine characteristics.</div>

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: An Improved EfficientNetV2 Model Based on Visual Attention Mechanism: Application to Identification of Cassava Disease 