[{"data":1,"prerenderedAt":161},["ShallowReactive",2],{"research-en-\u002Fen\u002Fresearch\u002F20240929_eccv":3},{"id":4,"title":5,"authors":6,"body":7,"category":150,"conference":151,"date":152,"description":40,"extension":153,"image":154,"meta":155,"navigation":156,"path":157,"seo":158,"stem":159,"__hash__":160},"research\u002Fen\u002Fresearch\u002F20240929_eccv.md","Deep Learning Based Growth Modeling of Plant Phenotypes","Renke Hohl, Moritz Schauer, Seyed Eghbal Ghobadi",{"type":8,"value":9,"toc":146},"minimark",[10,15,19,30,34,142],[11,12,14],"h2",{"id":13},"abstract","Abstract",[16,17,18],"p",{},"This paper investigates the less explored domain of imagebased plant growth modeling using deep learning. Our approach aims to model plant phenotypes at different growth stages, laying the foundation for further research on generating synthethic training data for object detection and segmentation We introduce a novel class of neural network architectures called Latent Plant Growth Models (LPGMs), which model the temporal aspects of plant growth within the latent space of pre-trained autoencoders. Two distinct LPGM architectures have been developed and investigated. These architectures demonstrate improved performance over existing state-of-the-art methods in terms of image quality and training time, while retaining a high degree of realism in the simulated growth.",[16,20,21,22],{},"Read More: ",[23,24,29],"a",{"href":25,"rel":26,"target":28},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-3-031-91835-3_15",[27],"nofollow","_blank","ECCV 2024 Proceedings",[11,31,33],{"id":32},"cite-as","Cite As",[35,36,41],"pre",{"className":37,"code":38,"language":39,"meta":40,"style":40},"language-latex shiki shiki-themes github-light github-dark","@InProceedings{10.1007\u002F978-3-031-91835-3_15,\n    author=\"Hohl, Renke\n    and Schauer, Moritz\n    and Ghobadi, Seyed Eghbal\",\n    editor=\"Del Bue, Alessio\n    and Canton, Cristian\n    and Pont-Tuset, Jordi\n    and Tommasi, Tatiana\",\n    title=\"Deep Learning Based Growth Modeling of Plant Phenotypes\",\n    booktitle=\"Computer Vision -- ECCV 2024 Workshops\",\n    year=\"2025\",\n    publisher=\"Springer Nature Switzerland\",\n    address=\"Cham\",\n    pages=\"224--239\",\n    isbn=\"978-3-031-91835-3\"\n}\n","latex","",[42,43,44,52,58,64,70,76,82,88,94,100,106,112,118,124,130,136],"code",{"__ignoreMap":40},[45,46,49],"span",{"class":47,"line":48},"line",1,[45,50,51],{},"@InProceedings{10.1007\u002F978-3-031-91835-3_15,\n",[45,53,55],{"class":47,"line":54},2,[45,56,57],{},"    author=\"Hohl, Renke\n",[45,59,61],{"class":47,"line":60},3,[45,62,63],{},"    and Schauer, Moritz\n",[45,65,67],{"class":47,"line":66},4,[45,68,69],{},"    and Ghobadi, Seyed Eghbal\",\n",[45,71,73],{"class":47,"line":72},5,[45,74,75],{},"    editor=\"Del Bue, Alessio\n",[45,77,79],{"class":47,"line":78},6,[45,80,81],{},"    and Canton, Cristian\n",[45,83,85],{"class":47,"line":84},7,[45,86,87],{},"    and Pont-Tuset, Jordi\n",[45,89,91],{"class":47,"line":90},8,[45,92,93],{},"    and Tommasi, Tatiana\",\n",[45,95,97],{"class":47,"line":96},9,[45,98,99],{},"    title=\"Deep Learning Based Growth Modeling of Plant Phenotypes\",\n",[45,101,103],{"class":47,"line":102},10,[45,104,105],{},"    booktitle=\"Computer Vision -- ECCV 2024 Workshops\",\n",[45,107,109],{"class":47,"line":108},11,[45,110,111],{},"    year=\"2025\",\n",[45,113,115],{"class":47,"line":114},12,[45,116,117],{},"    publisher=\"Springer Nature Switzerland\",\n",[45,119,121],{"class":47,"line":120},13,[45,122,123],{},"    address=\"Cham\",\n",[45,125,127],{"class":47,"line":126},14,[45,128,129],{},"    pages=\"224--239\",\n",[45,131,133],{"class":47,"line":132},15,[45,134,135],{},"    isbn=\"978-3-031-91835-3\"\n",[45,137,139],{"class":47,"line":138},16,[45,140,141],{},"}\n",[143,144,145],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":40,"searchDepth":54,"depth":54,"links":147},[148,149],{"id":13,"depth":54,"text":14},{"id":32,"depth":54,"text":33},"conference","9th CVPPA Workshop at ECCV 2024 in Milan","2024-09-29","md","cvppa24-hohl.webp",{},true,"\u002Fen\u002Fresearch\u002F20240929_eccv",{"title":5,"description":40},"en\u002Fresearch\u002F20240929_eccv","ZOocphtymk2MjOv7Glbw3zFxbcGZcWwAAQh_oP8tu4M",1793017189352]