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ResearchFormerly WizWand

Image Classification on ImageNet-1k 1 (val) (Accuracy, Throughput, and Speedup)

85.8AccuracyNo pruning
55.32863.23971.1579.061Dec 1, 2024
Updated 8mo ago

Evaluation results

MethodLinks
No pruningSch=None, LLF=false, Pool=avg2024.1285.80.861
CroprSch=3-stage (R=50), LLF=true, Pool=avg2024.1285.51.351.6
CroprSch=3-stage (R=50), LLF=false, Pool=avg2024.1285.41.431.7
CroprSch=R=8, LLF=true, Pool=avg2024.1285.31.481.7
ToMe, from [6]Sch=R=8, LLF=false, Pool=cls2024.1285.11.551.8
CroprSch=R=8, LLF=false, Pool=avg2024.1285.11.611.9
ToMeSch=R=8, LLF=false, Pool=avg2024.12851.551.8
Attn Top-KSch=R=8, LLF=true, Pool=cls2024.1284.71.451.7
K-MedoidsSch=R=8, LLF=false, Pool=avg2024.1284.50.310.4
EVITSch=R=8, LLF=false, Pool=cls2024.1284.51.571.8
VarianceSch=R=8, LLF=true, Pool=avg2024.1284.31.51.7
ATSSch=R=8, LLF=false, Pool=cls2024.1283.90.490.6
RandomSch=R=8, LLF=true, Pool=avg2024.1283.81.51.7
SiTSch=3-stage (R=50), LLF=false, Pool=avg2024.12831.411.6
PatchMergerSch=3-stage (R=50), LLF=false, Pool=avg2024.1282.41.41.6
DPC-KNNSch=R=8, LLF=false, Pool=avg2024.1279.211.2
Non-salientSch=R=8, LLF=true, Pool=avg2024.1276.41.481.7
DynamicViTSch=3-stage (R=50), LLF=false, Pool=avg2024.1264.41.321.5
SinkhornSch=3-stage (R=50), LLF=false, Pool=avg2024.1256.51.41.6