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CIFAR10 CIFAR10 Dec 12, 2018
CIFAR100 Update Sep 6, 2018
Datasets_description improve Feb 2, 2018
IMAGENET-DOG ImageNet-Dog Jul 9, 2018
IMAGENET10 ImageNet10 Jun 19, 2018
MNIST MNIST Jun 19, 2018
Oral-PPT Oral Dec 26, 2018
Results_visualization showing Mar 5, 2019
STL10 STL-10 Jul 9, 2018 Update Dec 16, 2018 functions Oct 6, 2017 Update Oct 21, 2017

Deep Adaptive Image Clustering

IEEE International Conference on Computer Vision 2017 (ICCV 2017 Oral: 2.09%)

Please wait for the core code, we will update it in the next two months.

Keras 1.1.2 + Theano 0.8.2

Jianlong Chang (

The core code of DAC*, which considers all samples for training during each iteration.

Results visualization

STL-10 results


MNIST, CIFAR10, CIFAR100 can be obtained by Keras (

STL-10 can be founded at

The descriptions of the ImageNet-10 and ImageNet-Dog datasts are in the "vector-1127/DAC/Datasets description".


author = {Chang, Jianlong and Wang, Lingfeng and Meng, Gaofeng and Xiang, Shiming and Pan, Chunhong},
title = {Deep Adaptive Image Clustering},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017}
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