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Models/IIC

IIC

Reported on 21 benchmarks across 6 tasks · 1 paper · 20 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision15 results

Image ClusteringonCIFAR-10
ARI· uses extra data· 2018-07-17
0.411
best: 0.989 (TURTLE (CLIP + DINOv2))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Image ClusteringonCIFAR-10
Accuracy· uses extra data· 2018-07-17
0.617
best: 0.995 (TURTLE (CLIP + DINOv2))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Image ClusteringonCIFAR-10
NMI· uses extra data· 2018-07-17
0.511
best: 0.985 (TURTLE (CLIP + DINOv2))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Image ClassificationonSTL-10
Percentage correct· 2018-07-17
88.8
best: 99.64 (µ2Net+ (ViT-L/16))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Image ClassificationonSTL-10
Accuracy· 2018-07-17
88.8
best: 99.7 (TURTLE (CLIP + DINOv2))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Image ClassificationonCIFAR-10
Accuracy· uses extra data· 2018-07-17
61.7
best: 99.612 (efficient adaptive ensembling)
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Image ClassificationonCIFAR-20
Accuracy· 2018-07-17
25.7
best: 73.2 (MV-MR)
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Unsupervised Semantic SegmentationonCOCO-Stuff-15
Pixel Accuracy· 2018-07-17
27.7
best: 38.8 (InfoSeg)
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Unsupervised Semantic SegmentationonCOCO-Stuff-3
Pixel Accuracy· 2018-07-17
72.3
best: 80.3 (SAN)
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Unsupervised Semantic SegmentationonPotsdam-3
Accuracy· 2018-07-17
45.4
best: 83.3 (PriMaPs-EM+HP (DINO ViT-B/8))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Unsupervised Semantic SegmentationonCOCO-Stuff-27
Clustering [Accuracy]· 2018-07-17
21.8
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Semi-Supervised Image ClassificationonSTL-10
Accuracy· 2018-07-17
88.8
best: 95.48 (EnAET)
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Image ClassificationonSTL-10
Percentage correct· 2018-07-17
88.8
best: 99.64 (µ2Net+ (ViT-L/16))
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Image ClassificationonSTL-10
Accuracy· uses extra data· 2018-07-17
61
best: 99.7 (TURTLE (CLIP + DINOv2))
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Image ClassificationonMNIST
Accuracy· 2018-07-17
99.3
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653

Medical4 results

Semantic SegmentationonCOCO-Stuff-15
Pixel Accuracy· 2018-07-17
27.7
best: 38.8 (InfoSeg)
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Semantic SegmentationonCOCO-Stuff-3
Pixel Accuracy· 2018-07-17
72.3
best: 80.3 (SAN)
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Semantic SegmentationonPotsdam-3
Accuracy· 2018-07-17
45.4
best: 83.3 (PriMaPs-EM+HP (DINO ViT-B/8))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
Semantic SegmentationonCOCO-Stuff-27
Clustering [Accuracy]· 2018-07-17
21.8
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653

Audio4 results

10-shot image generationonCOCO-Stuff-15
Pixel Accuracy· 2018-07-17
27.7
best: 38.8 (InfoSeg)
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
10-shot image generationonCOCO-Stuff-3
Pixel Accuracy· 2018-07-17
72.3
best: 80.3 (SAN)
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
10-shot image generationonPotsdam-3
Accuracy· 2018-07-17
45.4
best: 83.3 (PriMaPs-EM+HP (DINO ViT-B/8))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653
10-shot image generationonCOCO-Stuff-27
Clustering [Accuracy]· 2018-07-17
21.8
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
SOTA
Invariant Information Clustering for Unsupervised Image Classification and Segmentation arXiv:1807.06653