论文信息 - FPANet: Feature-enhanced position attention network for semantic segmentation - 字舞流文

FPANet: Feature-enhanced position attention network for semantic segmentation

Wei Zhou | Yunjia Huang | Hai-Xia Xu | Shuailong Wang | Qi Chen | Dongbo Zhang | Wei Zhou | Dongbo Zhang | Haijiang Xu | Shuailong Wang | Qi Chen | Yunjia Huang

[1] Xilin Chen,et al. Object-Contextual Representations for Semantic Segmentation , 2019, ECCV.

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

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

[4] Sinisa Segvic,et al. Convolutional Scale Invariance for Semantic Segmentation , 2016, GCPR.

[5] In-So Kweon,et al. CBAM: Convolutional Block Attention Module , 2018, ECCV.

[6] Yi Zhang,et al. PSANet: Point-wise Spatial Attention Network for Scene Parsing , 2018, ECCV.

[7] Jia Zhang,et al. Deep semantic segmentation-based multiple description coding , 2020, Multimedia Tools and Applications.

[8] Charless C. Fowlkes,et al. Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation , 2016, ECCV.

[9] 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.

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