[{"_1":2,"_160":-5,"_161":-5},"loaderData",{"_3":4,"_17":18,"_25":26,"_139":140},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7,"_13":14,"_15":16},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","theme","system","contrast","normal","routes/_layout",{"_19":-5,"_20":21,"_22":21,"_23":11,"_24":21},"username","isAskGordonEnabled",true,"isUsingNewTemplate","showMinimalLanding","showHoneypotTrap","routes/_layout.r.$namespace.$reponame",{"_27":28,"_29":-5,"_30":11,"_31":11,"_32":33,"_34":35,"_36":-5,"_37":11,"_38":39,"_88":-5,"_89":90,"_128":-5,"_129":11,"_130":21,"_131":11,"_132":-5,"_133":11,"_134":-5,"_135":136,"_137":91,"_138":-7},"canonicalUrl","https://hub.docker.com/r/jlo2020/iic/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","jlo2020","reponame","iic","cloudBuildSource","isAutobuildsAvailable","repo",{"_40":41,"_42":43,"_45":46,"_47":48,"_49":11,"_50":51,"_52":53,"_54":55,"_57":35,"_32":33,"_58":59,"_60":44,"_61":62,"_63":64,"_65":66,"_67":-5,"_68":62,"_69":70,"_71":11,"_72":33,"_73":74,"_79":11,"_80":81,"_85":33,"_86":87},"categories",[],"content_types",[44],"image","date_registered","2021-04-28T18:28:46.030492Z","description","","is_private","last_updated","2021-10-08T22:12:44.810666Z","last_modified","2024-10-16T13:48:34.145251Z","media_types",[56],"application/vnd.docker.container.image.v1+json","name","pull_count",1633,"repository_type","star_count",0,"status",1,"status_description","active","source","collaborator_count","full_description","# Invariant Information Clustering for Unsupervised Image Classification and Segmentation\n\nThis repository contains PyTorch code for the IIC paper.\n\nIIC is an unsupervised clustering objective that trains neural networks into image classifiers and segmenters without\nlabels, with state-of-the-art semantic accuracy.\n\nWe set 9 new state-of-the-art records on unsupervised STL10 (unsupervised variant of ImageNet), CIFAR10, CIFAR20, MNIST,\nCOCO-Stuff-3, COCO-Stuff, Potsdam-3, Potsdam, and supervised/semisupervised STL. For example:\n\n $\"unsupervised_SOTA\"$ \n\nCommands used to train the models in the paper \nhere. There you can also find the flag to turn on prediction drawing for MNIST:\n\n $\"progression\"$ \n\nHow to download all our trained models including\nplots here.\n\nHow to set up the segmentation datasets here.\n\n# Citation\n\n @inproceedings{ji2019invariant,\n title={Invariant information clustering for unsupervised image classification and segmentation},\n author={Ji, Xu and Henriques, Jo{\\~a}o F and Vedaldi, Andrea},\n booktitle={Proceedings of the IEEE International Conference on Computer Vision},\n pages={9865--9874},\n year={2019}\n }\n\n# Package dependencies\n\nListed here. You may want to use e.g.\nvirtualenv to isolate the environment. It's an easy way to install package versions specific to the repository that won'\nt affect the rest of the system.\n\n# Running on your own dataset\n\nYou can either plug our loss (paper fig.\n4, here\nand here) into your own\ncode, or change scripts in this codebase. Auxiliary overclustering makes a large difference (paper table 2) and is easy\nto implement, so it's strongly recommend even if you are using your own code; the others settings are less important.\n\nNew: single function to create the dataloaders for\nclustering here.\n\nOld thread here.\n\n# Forks\n\nThere are various forks of the main repository. In general I have not verified the code or performance, but check them\nout as someone may be working with versions of interest to you. For example:\n\n- https://github.com/astirn/IIC (Tensorflow)\n- https://github.com/nathanin/IIC (Tensorflow)\n- https://github.com/sebastiani/IIC (Python 3, Pytorch 1.0)\n","has_starred","hub_user","immutable_tags_settings",{"_75":11,"_76":77},"enabled","rules",[78],".*","is_automated","permissions",{"_82":21,"_83":11,"_84":11},"read","write","admin","user","storage_size",6013727318,"orgData","recentTags",[91],{"_92":44,"_93":94,"_95":96,"_97":98,"_99":100,"_50":117,"_118":94,"_119":33,"_120":56,"_57":121,"_122":123,"_124":108,"_125":117,"_126":66,"_127":21},"content_type","creator",8884829,"full_size",6013706143,"id",170108520,"images",[101],{"_102":103,"_104":105,"_106":48,"_107":108,"_109":110,"_111":112,"_113":48,"_114":-5,"_115":96,"_63":66,"_116":-5},"architecture","amd64","digest","sha256:0025825b732975fce58be8f291bcc338fb3b41954d4be6297a3cc054e31bcc71","features","last_pulled","2026-09-30T02:03:52.389271041Z","last_pushed","2021-10-08T22:12:45Z","os","linux","os_features","os_version","size","variant","2021-10-08T22:12:44.492678Z","last_updater","last_updater_username","media_type","latest","repository",12782776,"tag_last_pulled","tag_last_pushed","tag_status","v2","sbxKitMetadata","isPotentialSpam","isHubSbxKitsEnabled","showSbxLogoOverride","sbxTrademarkText","displaySecurityMetadata","tagAttestations","tagsHaveAttestations",[],"selectedTag","attestationsUrl","routes/_layout.r.$namespace.$reponame.tags",{"_38":141,"_148":149,"_135":158,"_159":11},{"_40":142,"_42":143,"_45":46,"_47":48,"_49":11,"_50":51,"_52":53,"_54":144,"_57":35,"_32":33,"_58":59,"_60":44,"_61":62,"_63":64,"_65":66,"_67":-5,"_68":62,"_69":70,"_71":11,"_72":33,"_73":145,"_79":11,"_80":147,"_85":33,"_86":87},[],[44],[56],{"_75":11,"_76":146},[78],{"_82":21,"_83":11,"_84":11},"tags",{"_150":64,"_151":-5,"_152":-5,"_153":154},"count","next","previous","results",[155],{"_92":44,"_93":94,"_95":96,"_97":98,"_99":156,"_50":117,"_118":94,"_119":33,"_120":56,"_57":121,"_122":123,"_124":108,"_125":117,"_126":66,"_127":21},[157],{"_102":103,"_104":105,"_106":48,"_107":108,"_109":110,"_111":112,"_113":48,"_114":-5,"_115":96,"_63":66,"_116":-5},[],"canDeleteTags","actionData","errors"]

jlo2020/iic

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