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Image Classification on ICinW

48.9Average AccuracyMaskCLIP
33.40437.42741.4545.473Aug 25, 2022

Evaluation results

MethodLinks
MaskCLIPPre-training dataset=ICinW Academic Track, Evaluation protocol=Zero-shot, Backbone=ViT-B2022.0848.986.495.378.311.63357.718.8878.917.352.8167.374.274.452.146.254.326.582.3
KLITEPre-training dataset=ICinW Academic Track, Evaluation protocol=Zero-shot, Backbone=Swin-B2022.0845.587.492.768.88.232.227.917.44.372.411.448.431.112.875.665.950.652.944.410.282.3
YT-CLIPPre-training dataset=ICinW Academic Track, Evaluation protocol=Zero-shot2022.0844.577.883.558.411.931.940.727.16.968.718.852.39.118.853.169.351.550.352.719.779.3
UniCLPre-training dataset=ICinW Academic Track, Evaluation protocol=Zero-shot, Backbone=Focal-B2022.084484.890.267.86.725.435.330.83.568.311.15117.911.371.744.952.149.541.424.281.3
GramerPre-training dataset=ICinW Academic Track, Evaluation protocol=Zero-shot, Backbone=Swin-B2022.0843.283.992.969.57.325.524.430.42.771952.612.410.170.452.450.650.144.813.881.3
MaskCLIPPre-training dataset=YFCC-15M, Evaluation protocol=Zero-shot, Backbone=ViT-B2022.0840.17280.257.512.627.94420.36.164.98.55234.34.95734.350.149.935.76.782.1
SLIPPre-training dataset=YFCC-15M, Evaluation protocol=Zero-shot2022.0837.870.982.648.611.826.619.818.15.659.912.651.829.49.856.331.455.351.528.55.480.5
CLIPPre-training dataset=YFCC-15M, Evaluation protocol=Zero-shot2022.083458.668.536.910.821.430.516.95.151.66.551.125.9552.728.651.752.522.44.579.1