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Image Classification on ImageNet 1K (val) (Acc and Real Acc)

84.3AccuracyConvNextV2-B
67.004871.494975.98580.4751May 22, 2023
Updated 8mo ago

Evaluation results

MethodLinks
ConvNextV2-BParams (M)=88.7, FLOPs (B)=15.4, Depth=113, Latency (ms)=15.412023.0584.3—
Swin-SParams (M)=49.6, FLOPs (B)=8.7, Depth=96, Latency (ms)=20.252023.0583.2187.6
VanillaNet-13-1.5x†Params (M)=127.8, FLOPs (B)=48.9, Depth=13, Latency (ms)=9.722023.0583.1187.85
ViTAEV2-SParams (M)=19.2, FLOPs (B)=5.7, Depth=130, Latency (ms)=24.532023.0582.687.6
VanillaNet-13-1.5xParams (M)=127.8, FLOPs (B)=26.5, Depth=13, Latency (ms)=7.832023.0582.5387.48
ConvNextV2-TParams (M)=28.6, FLOPs (B)=4.47, Depth=59, Latency (ms)=8.42023.0582.5—
VanillaNet-13Params (M)=58.6, FLOPs (B)=11.9, Depth=13, Latency (ms)=4.262023.0582.0587.15
ViTAE-SParams (M)=23.6, FLOPs (B)=5.6, Depth=116, Latency (ms)=22.132023.058287
VanillaNet-12Params (M)=54.3, FLOPs (B)=11.1, Depth=12, Latency (ms)=3.822023.0581.5586.81
ConvNextV2-NParams (M)=15.6, FLOPs (B)=2.45, Depth=47, Latency (ms)=6.852023.0581.2—
Swin-TParams (M)=28.3, FLOPs (B)=4.5, Depth=48, Latency (ms)=10.512023.0581.1886.64
VanillaNet-11Params (M)=50, FLOPs (B)=10.3, Depth=11, Latency (ms)=3.592023.0581.0886.54
VanillaNet-10Params (M)=45.7, FLOPs (B)=9.4, Depth=10, Latency (ms)=3.242023.0580.5786.25
RepVGG-B3Params (M)=110.9, FLOPs (B)=26.2, Depth=29, Latency (ms)=4.212023.0580.586.44
VanillaNet-9Params (M)=41.4, FLOPs (B)=8.6, Depth=9, Latency (ms)=2.912023.0579.8785.66
ResNet-50-TNRParams (M)=25.6, FLOPs (B)=4.1, Depth=50, Latency (ms)=7.642023.0579.885.7
ConvNextV2-PParams (M)=9.1, FLOPs (B)=1.37, Depth=41, Latency (ms)=6.292023.0579.785.6
VanillaNet-8Params (M)=37.1, FLOPs (B)=7.7, Depth=8, Latency (ms)=2.562023.0579.1385.14
ConvNextV2-FParams (M)=5.2, FLOPs (B)=0.78, Depth=41, Latency (ms)=6.172023.057884.08
VanillaNet-7Params (M)=32.8, FLOPs (B)=6.9, Depth=7, Latency (ms)=2.272023.0577.9884.16
VanillaNet-6Params (M)=32.5, FLOPs (B)=6, Depth=6, Latency (ms)=2.012023.0576.3682.86
ShuffleNetV2x2Params (M)=7.4, FLOPs (B)=0.58, Depth=51, Latency (ms)=7.842023.0576.2382.72
ConvNextV2-AParams (M)=3.7, FLOPs (B)=0.55, Depth=41, Latency (ms)=6.072023.0576.282.79
ResNet-34-TNRParams (M)=21.8, FLOPs (B)=3.7, Depth=34, Latency (ms)=5.572023.0575.583.4
ViTAE-TParams (M)=4.8, FLOPs (B)=1.5, Depth=67, Latency (ms)=13.372023.0575.382.9
RepVGG-B0Params (M)=14.3, FLOPs (B)=3.1, Depth=29, Latency (ms)=3.882023.0575.1481.74
RepVGG-A1Params (M)=12.8, FLOPs (B)=2.37, Depth=23, Latency (ms)=3.242023.0574.4681.02
MobileNetV3-LargeParams (M)=5.5, FLOPs (B)=0.22, Depth=48, Latency (ms)=7.832023.0574.0480.01
ShuffleNetV2x1.5Params (M)=3.5, FLOPs (B)=0.3, Depth=51, Latency (ms)=7.232023.057380.19
VanillaNet-5Params (M)=15.5, FLOPs (B)=5.2, Depth=5, Latency (ms)=1.612023.0572.4979.66
RepVGG-A0Params (M)=8.1, FLOPs (B)=1.36, Depth=23, Latency (ms)=3.222023.0572.4179.33
ResNet-18-TNRParams (M)=11.7, FLOPs (B)=1.8, Depth=18, Latency (ms)=3.122023.0570.679.4
MobileNetV3-SmallParams (M)=2.5, FLOPs (B)=0.06, Depth=48, Latency (ms)=6.652023.0567.6774.33