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Models/ITAE

ITAE

Reported on 12 benchmarks across 1 task · 1 paper · 3 SOTA

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

Computer Vision12 results

Image ClusteringonTiny-ImageNet
ARI· uses extra data· 2024-10-07
0.5227
SOTA
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonTiny-ImageNet
Accuracy· uses extra data· 2024-10-07
0.6823
best: 0.698 (PRO-DSC)
SOTA
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonTiny-ImageNet
NMI· uses extra data· 2024-10-07
0.8178
SOTA
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonCIFAR-10
ARI· uses extra data· 2024-10-07
0.7946
best: 0.989 (TURTLE (CLIP + DINOv2))
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonCIFAR-10
Accuracy· uses extra data· 2024-10-07
0.8449
best: 0.995 (TURTLE (CLIP + DINOv2))
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonCIFAR-10
NMI· uses extra data· 2024-10-07
0.8682
best: 0.985 (TURTLE (CLIP + DINOv2))
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonCIFAR-100
ARI· uses extra data· 2024-10-07
0.5053
best: 0.834 (TURTLE (CLIP + DINOv2))
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonCIFAR-100
Accuracy· uses extra data· 2024-10-07
0.6502
best: 0.898 (TURTLE (CLIP + DINOv2))
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonCIFAR-100
NMI· uses extra data· 2024-10-07
0.771
best: 0.915 (TURTLE (CLIP + DINOv2))
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonSTL-10
ARI· uses extra data· 2024-10-07
0.7594
best: 0.994 (TURTLE (CLIP + DINOv2))
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonSTL-10
Accuracy· uses extra data· 2024-10-07
0.8276
best: 0.997 (TURTLE (CLIP + DINOv2))
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801
Image ClusteringonSTL-10
NMI· uses extra data· 2024-10-07
0.8818
best: 0.993 (TURTLE (CLIP + DINOv2))
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering arXiv:2410.04801