Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/TURTLE (CLIP + DINOv2)

TURTLE (CLIP + DINOv2)

Reported on 39 benchmarks across 2 tasks · 1 paper · 37 SOTA

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

Computer Vision39 results

Image ClusteringonStanford Cars
Accuracy· 2024-06-11
0.646
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonKinetics-700
Accuracy· 2024-06-11
43
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonPCam
Accuracy· 2024-06-11
52
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonDTD
Accuracy· 2024-06-11
57.3
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonGTSRB
Accuracy· 2024-06-11
48.4
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonSUN397
Accuracy· 2024-06-11
67.9
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonEuroSAT
Accuracy· 2024-06-11
96.6
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonCIFAR-10
ARI· 2024-06-11
0.989
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonCIFAR-10
Accuracy· 2024-06-11
0.995
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonCIFAR-10
NMI· 2024-06-11
0.985
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonCaltech-101
Accuracy· 2024-06-11
89.8
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonCLEVR Counts
Accuracy· 2024-06-11
24
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonHateful Memes
Accuracy· 2024-06-11
54.2
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonKITTI
Accuracy· 2024-06-11
39.4
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonCIFAR-100
ARI· 2024-06-11
0.834
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonCIFAR-100
Accuracy· 2024-06-11
0.898
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonCIFAR-100
NMI· 2024-06-11
0.915
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonUCF101
Accuracy· 2024-06-11
82.3
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonFGVC Aircraft
Accuracy· 2024-06-11
36.5
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonMNIST
Accuracy· 2024-06-11
97.8
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonFlowers-102
Accuracy· 2024-06-11
99.6
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonBirdsnap
Accuracy· 2024-06-11
68.1
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonSTL-10
ARI· 2024-06-11
0.994
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonSTL-10
Accuracy· 2024-06-11
0.997
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonSTL-10
NMI· 2024-06-11
0.993
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonOxford-IIIT Pets
Accuracy· 2024-06-11
92.3
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonImageNet
ARI· 2024-06-11
62.5
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonImageNet
Accuracy· 2024-06-11
72.9
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonImageNet
NMI· 2024-06-11
88.2
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonCountry211
Accuracy· 2024-06-11
11.1
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonRendered SST2
Accuracy· 2024-06-11
51.6
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonFood-101
Accuracy· 2024-06-11
92.2
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonFER2013
Accuracy· 2024-06-11
36.2
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClusteringonRESISC45
Accuracy· 2024-06-11
89.6
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClassificationonSTL-10
Accuracy· 2024-06-11
99.7
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClassificationonImageNet
ARI· uses extra data· 2024-06-11
62.5
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClassificationonImageNet
Accuracy (%)· uses extra data· 2024-06-11
72.9
SOTA
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClassificationonCIFAR-10
Accuracy· 2024-06-11
99.5
best: 99.612 (efficient adaptive ensembling)
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236
Image ClassificationonMNIST
Accuracy· 2024-06-11
97.8
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
Let Go of Your Labels with Unsupervised Transfer arXiv:2406.07236