List your company
ResearchFormerly WizWand

Image Classification on ImageNet-Nette (test)

70AccuracyGSDD
15.60829.72943.8557.971Sep 30, 2025Nov 6, 2025Dec 13, 2025Jan 20, 2026Feb 26, 2026Apr 4, 2026May 12, 2026
Updated 6mo ago

Evaluation results

MethodLinks
GSDDResolution=256x256, Distillation Algorithm=DM2025.0970
DDiFResolution=256x256, Distillation Algorithm=DM2025.0967.8
LatentDDResolution=256x256, Distillation Algorithm=DM2025.0956.1
FreDResolution=256x256, Distillation Algorithm=DM2025.0954.2
IDCResolution=256x256, Distillation Algorithm=DM2025.0953.7
DDDistill. Alg.=DM, IPC=10, Distill. Mode=DD, Architecture=ConvNet2026.0540
DIVERDistill. Alg.=DM, IPC=10, Distill. Mode=DIVER, Architecture=ConvNet2026.0535
DIVERDistill. Alg.=MTT, IPC=10, Distill. Mode=DIVER, Architecture=ConvNet2026.0534.3
VanillaResolution=256x256, Distillation Algorithm=DM2025.0932.1
GLaDDistill. Alg.=DM, IPC=1, Distill. Mode=GLaD, Architecture=ConvNet2026.0530.3
DDDistill. Alg.=DM, IPC=1, Distill. Mode=DD, Architecture=ConvNet2026.0528.9
GLaDDistill. Alg.=MTT, IPC=1, Distill. Mode=GLaD, Architecture=ConvNet2026.0522.5
DIVERDistill. Alg.=DM, IPC=1, Distill. Mode=DIVER, Architecture=ConvNet2026.0521.6
DDDistill. Alg.=MTT, IPC=10, Distill. Mode=DD, Architecture=ConvNet2026.0520.7
DIVERDistill. Alg.=MTT, IPC=1, Distill. Mode=DIVER, Architecture=ConvNet2026.0520.3
DDDistill. Alg.=MTT, IPC=1, Distill. Mode=DD, Architecture=ConvNet2026.0517.7