Image Classification on ImageNet (val) (Top-1 Accuracy and Latency)
75.7Top-1 AccuracyDiCENet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DiCENet# Params=5.1 M, # FLOPS=297 M, Device=GTX-960 M (Memory = 4GB), Batch size=12019.06 | 75.7 | — | |
| DiCENet# Params=5.1 M, # FLOPS=297 M, Device=GTX-960 M (Memory = 4GB), Batch size=322019.06 | 75.7 | 790.1 | |
| DiCENet# Params=5.1 M, # FLOPS=297 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=12019.06 | 75.7 | — | |
| DiCENet# Params=5.1 M, # FLOPS=297 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=322019.06 | 75.7 | — | |
| DiCENet# Params=5.1 M, # FLOPS=297 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=642019.06 | 75.7 | — | |
| MobileNetv3# Params=5.5 M, # FLOPS=220 M, Device=GTX-960 M (Memory = 4GB), Batch size=12019.06 | 75.2 | — | |
| MobileNetv3# Params=5.5 M, # FLOPS=220 M, Device=GTX-960 M (Memory = 4GB), Batch size=322019.06 | 75.2 | — | |
| MobileNetv3# Params=5.5 M, # FLOPS=220 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=12019.06 | 75.2 | — | |
| MobileNetv3# Params=5.5 M, # FLOPS=220 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=322019.06 | 75.2 | — | |
| MobileNetv3# Params=5.5 M, # FLOPS=220 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=642019.06 | 75.2 | — | |
| MobileNetv2# Params=3.5 M, # FLOPS=300 M, Device=GTX-960 M (Memory = 4GB), Batch size=12019.06 | 71.8 | — | |
| MobileNetv2# Params=3.5 M, # FLOPS=300 M, Device=GTX-960 M (Memory = 4GB), Batch size=322019.06 | 71.8 | 1,140.1 | |
| MobileNetv2# Params=3.5 M, # FLOPS=300 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=12019.06 | 71.8 | — | |
| MobileNetv2# Params=3.5 M, # FLOPS=300 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=322019.06 | 71.8 | — | |
| MobileNetv2# Params=3.5 M, # FLOPS=300 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=642019.06 | 71.8 | — | |
| ShuffleNetv2# Params=3.5 M, # FLOPS=300 M, Device=GTX-960 M (Memory = 4GB), Batch size=12019.06 | 71.8 | — | |
| ShuffleNetv2# Params=3.5 M, # FLOPS=300 M, Device=GTX-960 M (Memory = 4GB), Batch size=322019.06 | 71.8 | — | |
| ShuffleNetv2# Params=3.5 M, # FLOPS=300 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=12019.06 | 71.8 | — | |
| ShuffleNetv2# Params=3.5 M, # FLOPS=300 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=322019.06 | 71.8 | — | |
| ShuffleNetv2# Params=3.5 M, # FLOPS=300 M, Device=GTX-1080 Ti (Memory = 11 GB), Batch size=642019.06 | 71.8 | — |