Real-time network for mobile devices
awesome-image-classification
Learning Transferable Architectures for Scalable Image Recognition NASNet
MnasNet: Platform-Aware Neural Architecture Search for Mobile MnasNet
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications MobileNets
MobileNetV2: Inverted Residuals and Linear Bottlenecks MobileNetV2 MobileNetV2-pytorch)
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Megvill
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices ShuffleNet
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design ShuffleNet V2 Shufflenet-v2-Pytorch
Microsoft Research
Interleaved Group Convolutions for Deep Neural Networks IGCV
IGCV2: Interleaved Structured Sparse Convolutional Neural Networks IGCV2
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks IGCV3
Accelerating Deep Neural Networks with Spatial Bottleneck Modules
Others
CondenseNet: An Efficient DenseNet using Learned Group Convolutions CondenseNet
ChamNet: Towards Efficient Network Design through Platform-Aware Model AdaptationChamNet
Papers for real-time semantic segmentation
- A Comparative Study of Real-time Semantic Segmentation for Autonomous Driving
- Analysis of efficient CNN design techniques for semantic segmentation
- Real-time Semantic Image Segmentation via Spatial Sparsity arxiv2017
- ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation ENet
- ICNet for Real-Time Semantic Segmentation on High-Resolution Images ICNet
- Speeding up Semantic Segmentation for Autonomous Driving SQNet
- Efficient ConvNet for Real-time Semantic Segmentation EConvNet
- ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation ERFNet
- Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationEDANet
- ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation ESPNet
- ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network ESPNetv2 code
- Concentrated-Comprehensive Convolutions for lightweight semantic segmentation CCC-ERFNet
- BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation BiSeNet
- Light-Weight RefineNet for Real-Time Semantic SegmentationLight-Weight RefineNet code
- ShelfNet for Real-time Semantic Segmentation arxiv2018 code
- LadderNet: MULTI-PATH NETWORKS BASED ON U-NET FOR MEDICAL IMAGE SEGMENTATION LadderNet
- ShuffleSeg: REAL-TIME SEMANTIC SEGMENTATION NETWORK ShuffleSeg
- RTSeg: REAL-TIME SEMANTIC SEGMENTATION COMPARATIVE STUDY RTSeg
- ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time ContextNet
- CGNet: A Light-weight Context Guided Network for Semantic Segmentation arxiv2018 code
- Design of Real-time Semantic Segmentation Decoder for Automated Driving arxiv2019
- DSNet: DSNet for Real-Time Driving Scene Semantic Segmentation DSNet
- Fast-SCNN: Fast Semantic Segmentation Network arxiv2019
- An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions arxiv2019