Medical Image Segmentation on Kvasir-SEG

Metric: FPS (higher is better)

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#	Model↕	FPS▼	Extra Data	Paper	Date↕	Code
1	ColonSegNet	182.38	No	Real-Time Polyp Detection, Localization and Segm...	2020-11-15	Code
2	RUPNet	152.6	No	RUPNet: Residual upsampling network for real-tim...	2023-01-06	-
3	HarDNet-MSEG	116	No	HarDNet-MSEG: A Simple Encoder-Decoder Polyp Seg...	2021-01-18	Code
4	DDANet	69.59	No	DDANet: Dual Decoder Attention Network for Autom...	2020-12-30	Code
5	ResUNet++ + TTA + CRF	69.59	No	A Comprehensive Study on Colorectal Polyp Segmen...	2021-07-26	Code
6	TransNetR	54.6	No	TransNetR: Transformer-based Residual Network fo...	2023-03-13	Code
7	TransResU-Net	48.61	No	TransResU-Net: Transformer based ResU-Net for Re...	2022-06-17	Code

#1ColonSegNetSOTA
182.38
FPS· 2020-11-15
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning Code
#2RUPNet
152.6
FPS· 2023-01-06
RUPNet: Residual upsampling network for real-time polyp segmentation
#3HarDNet-MSEG
116
FPS· 2021-01-18
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS Code
#4DDANet
69.59
FPS· 2020-12-30
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation Code
#5ResUNet++ + TTA + CRF
69.59
FPS· 2021-07-26
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation Code
#6TransNetR
54.6
FPS· 2023-03-13
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing Code
#7TransResU-Net
48.61
FPS· 2022-06-17
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation Code