Semantic Segmentation on CamVid

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Mean IoU

Rank	Model	Mean IoU	Global Accuracy	Extra Training Data	Paper	Code	Year
1	SERNet-Former	84.62	–		SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks	serdarch/sernet-former · serdarch/SERNet-Former	2024
2	SIW	83.7	–		Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings		2022
3	DSNet-Base	83.32	–		DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation	takaniwa/dsnet	2024
4	RTFormer-Base	82.5	–		RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer	PaddlePaddle/PaddleSeg	2022
5	PIDNet-Wider	82.0%	–		PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers	XuJiacong/PIDNet · Darth-Kronos/PIDNet_TensorRT · hamidriasat/PIDNet · +3	2022
6	DeepLabV3Plus + SDCNetAug	81.7	–	✓	Improving Semantic Segmentation via Video Propagation and Label Relaxation	NVIDIA/semantic-segmentation · YeLyuUT/SSeg · ganlumomo/mtl-segmentation · +2	2018
7	DDRNet23	80.6%	–		Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes	Deci-AI/super-gradients · sithu31296/semantic-segmentation · ydhongHIT/DDRNet · +5	2021
8	ETC-Mobile	76.3	–		Efficient Semantic Video Segmentation with Per-frame Inference	irfanICMLL/ETC-Real-time-Per-frame-Semantic-video-segmentation	2020
9	VideoGCRF	75.2	–		Deep Spatio-Temporal Random Fields for Efficient Video Segmentation		2018
10	DenseDecoder	70.9	–		Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation		2018
11	BiSeNet	68.7%	–		BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation	PaddlePaddle/PaddleSeg · osmr/imgclsmob · CoinCheung/BiSeNet · +18	2018
12	FC-DenseNet103	66.9%	91.5%		The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation	SimJeg/FC-DenseNet · bfortuner/pytorch_tiramisu · mrkolarik/3d-brain-segmentation · +20	2016
13	EDANet	66.4	90.8		Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation	osmr/imgclsmob · zh320/realtime-semantic-segmentation-pytorch · shaoyuanlo/EDANet · +1	2018
14	Dilated Convolutions	65.3%	–		Multi-Scale Context Aggregation by Dilated Convolutions	fyu/dilation · vlievin/Unet · Wanger-SJTU/FCN-in-the-wild · +6	2015
15	DFANet A	64.7%	–		DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation	huaifeng1993/DFANet · j-a-lin/DFANet_PyTorch	2019
16	Template-Based NAS-arch0 (480x360 inputs)	63.9%	–		Template-Based Automatic Search of Compact Semantic Segmentation Architectures	drsleep/nas-segm-pytorch	2019
17	LMDNet	63.5	–		Efficient Road Lane Marking Detection with Deep Learning		2018
18	Template-Based NAS-arch1 (480x360 inputs)	63.2%	–		Template-Based Automatic Search of Compact Semantic Segmentation Architectures	drsleep/nas-segm-pytorch	2019
19	DeepLab-MSc-CRF-LargeFOV	61.6%	–		Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs	tensorflow/models · tensorflow/models · open-mmlab/mmsegmentation · +15	2014
20	ReSeg	58.8%	88.7%		ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation	fvisin/reseg · mindspore-ai/contrib · SConsul/ReSeg · +2	2015