Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering

Benchmark Model Rank Results
image-clustering-on-cifar-10ITAEAccuracy: 0.8449NMI: 0.8682ARI: 0.7946Train set: Test
image-clustering-on-cifar-100ITAEAccuracy: 0.6502NMI: 0.771ARI: 0.5053Train Set: Test
image-clustering-on-stl-10ITAEAccuracy: 0.8276NMI: 0.8818ARI: 0.7594Train Split: Test
image-clustering-on-tiny-imagenetITAEAccuracy: 0.6823NMI: 0.8178ARI: 0.5227