Image Clustering
图像聚类是计算机视觉领域的一项重要任务,旨在将图像数据集划分为语义上有意义的簇,而无需访问真实标签。该任务通过无监督学习方法,自动发现图像中的内在结构和模式,从而实现对未标注图像的有效组织和管理。图像聚类在图像检索、数据挖掘和内容分析等应用场景中具有重要价值。
ARL Polarimetric Thermal Face Dataset
Birdsnap
Caltech-101
CARS196
CIFAR-10
TEMI CLIP ViT-L (openai)
CIFAR-100
SPICE*
CIFAR-20
CLEVR Counts
CMU-PIE
coil-100
A-DSSC (Scattered)
Coil-20
JULE-RC
coil-40
A-DSSC (Scattered)
Country211
CUB-200-2011
CUB Birds
FineGAN
DTD
TURTLE (CLIP + DINOv2)
EMNIST-Balanced
AE+SNNL
EuroSAT
Extended Yale-B
DMSC
Fashion-MNIST
PRCut (DinoV2)
FER2013
FGVC Aircraft
Flowers-102
Food-101
FRGC
DEPICT
GTSRB
HAR
FCMI
Hateful Memes
ImageNet
TURTLE (CLIP + DINOv2)
ImageNet-10
DCCM
ImageNet-100
imagenet-1k
TAC
ImageNet-200
TEMI CLIP ViT-L (openai)
ImageNet-50
Imagenet-dog-15
MAE-CT (best)
Kinetics-700
KITTI
LetterA-J
DDC-DA
MNIST
MNIST-full
SPC
MNIST-test
DynAE
Oxford-IIIT Pets
PCam
pendigits
N2D (UMAP)
Rendered SST2
TURTLE (CLIP + DINOv2)
RESISC45
Stanford Cars
FineGAN
Stanford Dogs
FineGAN
STL-10
SPICE*
SUN397
Tiny-ImageNet
PRO-DSC
UCF101
UMist
J-DSSC (Scattered)
USPS
SPC
YouTube Faces DB
JULE-RC