HarDNeXt: Official HarDNeXt repository

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Deep LearningHarDNeXt
Overview

HarDNeXt-Pytorch

HarDNeXt: A Stage Receptive Field and Connectivity Aware Convolution Neural Network

HarDNeXt-MSEG for Medical Image Segmentation in 0.913 mDice / 127 FPS, 0.910 mDice / 150 FPS on Kvasir-SEG dataset

Image Classification (ImgaeNet 2012)

Medical Image Segmentation (Kvasir-SEG)

Performance on ImageNet2012 Validation Set

Model Name MAC(B) FPS (2080 Ti)(FP32) EPI Top-1 Acc (FP32)
ResNet-34 3.67 347 0.435 73.3
DenseNet-121 2.88 97 1.08 74.65
HarDNet-39 2.12 245 0.487 74.4
HarDNeXt-28 2.07 359 0.354 74.09
HarDNeXt-32 2.11 324 0.397 74.5
HarDNeXt-39 2.84 299 0.466 75.36
Model Name MAC(B) FPS (2080 Ti)(FP32) EPI Top-1 Acc (FP32)
ResNet-50 4.12 257 0.643 76.15
DenseNet-169 3.42 71 1.571 76
HarDNet-68 4.26 149 0.836 76.5
HarDNeXt-50 3.51 215 0.619 76.32
Model Name MAC(B) FPS (2080 Ti)(FP32) EPI Top-1 Acc (FP32)
ResNet-101 7.84 141 1.207 77.3
DenseNet-201 4.37 58 1.92 77.2
ResNeXt-50 4.27 166 0.92 77.62
HarDNeXt-56 6.32 182 0.89 77.3

Training

python ./src/main.py --model_name hardnext --arch 39 /imagenet/data/path

Evaluation

python ./src/main.py --model_name hardnext --arch 39  --evaluation --resume /pretrained weight/data/path
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