HarDNeXt: Official HarDNeXt repository

Last update: May 26, 2022

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Deep Learning HarDNeXt

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

Owner

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