Efficient pyramid context encoding and feature embedding for semantic segmentation

[1]  Song Han,et al.  ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware , 2018, ICLR.

[2]  Ran El-Yaniv,et al.  Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations , 2016, J. Mach. Learn. Res..

[3]  Sebastian Ramos,et al.  The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[4]  Qian Zhang,et al.  FasterSeg: Searching for Faster Real-time Semantic Segmentation , 2019, ICLR.

[5]  Guosheng Lin,et al.  Exploring Context with Deep Structured Models for Semantic Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Quoc V. Le,et al.  EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.

[7]  Linda G. Shapiro,et al.  ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[8]  Yiming Yang,et al.  DARTS: Differentiable Architecture Search , 2018, ICLR.

[9]  Sheng Tang,et al.  CGNet: A Light-Weight Context Guided Network for Semantic Segmentation , 2018, IEEE Transactions on Image Processing.

[10]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[11]  Ali Farhadi,et al.  XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks , 2016, ECCV.

[12]  Eugenio Culurciello,et al.  LinkNet: Exploiting encoder representations for efficient semantic segmentation , 2017, 2017 IEEE Visual Communications and Image Processing (VCIP).

[13]  Ian D. Reid,et al.  RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[15]  Linda G. Shapiro,et al.  ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation , 2018, ECCV.

[16]  Vijay Vasudevan,et al.  Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[17]  Rob Fergus,et al.  Visualizing and Understanding Convolutional Networks , 2013, ECCV.

[18]  Roberto Cipolla,et al.  SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  George Papandreou,et al.  Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.

[20]  Quoc V. Le,et al.  Efficient Neural Architecture Search via Parameter Sharing , 2018, ICML.

[21]  Qi Tian,et al.  Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[22]  Sergey Ioffe,et al.  Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.

[23]  Kai Zhao,et al.  Res2Net: A New Multi-Scale Backbone Architecture , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  Kun Yu,et al.  DenseASPP for Semantic Segmentation in Street Scenes , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[25]  Enhua Wu,et al.  Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[26]  Trevor Darrell,et al.  Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[27]  Roberto Cipolla,et al.  Segmentation and Recognition Using Structure from Motion Point Clouds , 2008, ECCV.

[28]  Christopher Zach,et al.  ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time , 2018, BMVC.

[29]  Quoc V. Le,et al.  Large-Scale Evolution of Image Classifiers , 2017, ICML.

[30]  Xiangyu Zhang,et al.  Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[31]  Jian Sun,et al.  DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[32]  Oriol Vinyals,et al.  Hierarchical Representations for Efficient Architecture Search , 2017, ICLR.

[33]  Iasonas Kokkinos,et al.  DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[34]  Jian Sun,et al.  ExFuse: Enhancing Feature Fusion for Semantic Segmentation , 2018, ECCV.

[35]  Ke Chen,et al.  Structured Knowledge Distillation for Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[36]  Changming Sun,et al.  Knowledge Adaptation for Efficient Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[37]  Yoshua Bengio,et al.  The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[38]  Gang Yu,et al.  BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation , 2018, ECCV.

[39]  Pengfei Xiong,et al.  Pyramid Attention Network for Semantic Segmentation , 2018, BMVC.

[40]  Zhuowen Tu,et al.  Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[41]  Mark Sandler,et al.  MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[42]  Quoc V. Le,et al.  Understanding and Simplifying One-Shot Architecture Search , 2018, ICML.

[43]  Xiaojuan Qi,et al.  ICNet for Real-Time Semantic Segmentation on High-Resolution Images , 2017, ECCV.

[44]  Bo Chen,et al.  Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[45]  Jun Fu,et al.  Dual Attention Network for Scene Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[46]  Roberto Cipolla,et al.  Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding , 2015, BMVC.

[47]  Li Fei-Fei,et al.  Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[48]  Tao Mei,et al.  Customizable Architecture Search for Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[49]  Kilian Q. Weinberger,et al.  Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[50]  Garrison W. Cottrell,et al.  Understanding Convolution for Semantic Segmentation , 2017, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

[51]  Xiaogang Wang,et al.  Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[52]  Luc Van Gool,et al.  The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.

[53]  Zihao Dong,et al.  Lightweight boundary refinement module based on point supervision for semantic segmentation , 2021, Image Vis. Comput..

[54]  Weipeng Jing,et al.  Building NAS: Automatic designation of efficient neural architectures for building extraction in high-resolution aerial images , 2020, Image Vis. Comput..

[55]  Mengyu Liu,et al.  Feature Pyramid Encoding Network for Real-time Semantic Segmentation , 2019, BMVC.

[56]  Luca Antiga,et al.  Automatic differentiation in PyTorch , 2017 .

[57]  Alok Aggarwal,et al.  Regularized Evolution for Image Classifier Architecture Search , 2018, AAAI.