暂无分享,去创建一个
Anima Anandkumar | Ping Luo | Enze Xie | Zhiding Yu | Jose M. Alvarez | Wenhai Wang | Anima Anandkumar | Ping Luo | J. Álvarez | Zhiding Yu | Enze Xie | Wenhai Wang
[1] Matthijs Douze,et al. LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[2] Ronghang Hu,et al. Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer , 2021, ArXiv.
[3] Alexander Wong,et al. Squeeze-and-Attention Networks for Semantic Segmentation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Jianping Shi,et al. Improving Semantic Segmentation via Decoupled Body and Edge Supervision , 2020, ECCV.
[5] Xiaojuan Qi,et al. ICNet for Real-Time Semantic Segmentation on High-Resolution Images , 2017, ECCV.
[6] Jian Yang,et al. Selective Kernel Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Sen Jia,et al. How Much Position Information Do Convolutional Neural Networks Encode? , 2020, ICLR.
[8] Forrest N. Iandola,et al. SqueezeNAS: Fast Neural Architecture Search for Faster Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[9] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[10] Bolei Zhou,et al. Scene Parsing through ADE20K Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Quanfu Fan,et al. CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[12] Kun Yu,et al. DenseASPP for Semantic Segmentation in Street Scenes , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] A. Yuille,et al. Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation , 2020, ECCV.
[14] Jun Fu,et al. Dual Attention Network for Scene Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Christopher Zach,et al. ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time , 2018, BMVC.
[16] Peter Kontschieder,et al. The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[17] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[18] Stephen Lin,et al. GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[19] Jianbo Shi,et al. Semantic Segmentation with Boundary Neural Fields , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Ling Shao,et al. Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions , 2021, ArXiv.
[21] Tao Xiang,et al. Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Carsten Rother,et al. Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions , 2019, International Journal of Computer Vision.
[23] Jingdong Wang,et al. OCNet: Object Context Network for Scene Parsing , 2018, ArXiv.
[24] Sheng Tang,et al. CGNet: A Light-Weight Context Guided Network for Semantic Segmentation , 2018, IEEE Transactions on Image Processing.
[25] Gang Wang,et al. Boundary-Aware Feature Propagation for Scene Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[26] P. Luo,et al. TransTrack: Multiple-Object Tracking with Transformer , 2020, ArXiv.
[27] Jonathan T. Barron,et al. Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Chunhua Shen,et al. Twins: Revisiting Spatial Attention Design in Vision Transformers , 2021, ArXiv.
[29] Ilya Sutskever,et al. Learning Transferable Visual Models From Natural Language Supervision , 2021, ICML.
[30] Sanja Fidler,et al. Gated-SCNN: Gated Shape CNNs for Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[31] Pengfei Xiong,et al. Pyramid Attention Network for Semantic Segmentation , 2018, BMVC.
[32] Qian Zhang,et al. FasterSeg: Searching for Faster Real-time Semantic Segmentation , 2019, ICLR.
[33] Xiaoyan Sun,et al. Context-Reinforced Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Hong Liu,et al. Expectation-Maximization Attention Networks for Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[35] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[36] Xiang Li,et al. Mixed Link Networks , 2018, IJCAI.
[37] Zhuowen Tu,et al. Co-Scale Conv-Attentional Image Transformers , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[38] Lei Zhou,et al. Adaptive Pyramid Context Network for Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Georg Heigold,et al. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale , 2021, ICLR.
[40] Gang Yu,et al. Learning a Discriminative Feature Network for Semantic Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[41] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Xilin Chen,et al. Object-Contextual Representations for Semantic Segmentation , 2019, ECCV.
[43] Pichao Wang,et al. TransReID: Transformer-based Object Re-Identification , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[44] Yunchao Wei,et al. CCNet: Criss-Cross Attention for Semantic Segmentation , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[45] Ivan Laptev,et al. Training Vision Transformers for Image Retrieval , 2021, ArXiv.
[46] Gang Yu,et al. Context Prior for Scene Segmentation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Stephen Lin,et al. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[48] Nicolas Usunier,et al. End-to-End Object Detection with Transformers , 2020, ECCV.
[49] 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).
[50] Shuicheng Yan,et al. Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet , 2021, ArXiv.
[51] Luc Van Gool,et al. LocalViT: Bringing Locality to Vision Transformers , 2021, ArXiv.
[52] Yi Zhang,et al. PSANet: Point-wise Spatial Attention Network for Scene Parsing , 2018, ECCV.
[53] Hao Chen,et al. Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Vittorio Ferrari,et al. COCO-Stuff: Thing and Stuff Classes in Context , 2016, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[55] 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).
[56] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[57] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Jinglu Wang,et al. Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[60] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[61] Xilin Chen,et al. SegFix: Model-Agnostic Boundary Refinement for Segmentation , 2020, ECCV.
[62] 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).
[63] 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.
[64] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[65] Raquel Urtasun,et al. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks , 2016, NIPS.
[66] N. Codella,et al. CvT: Introducing Convolutions to Vision Transformers , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[67] Xiangyu Zhang,et al. Learning Dynamic Routing for Semantic Segmentation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[68] Xiaogang Wang,et al. Context Encoding for Semantic Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[69] Wenhai Wang,et al. Segmenting Transparent Object in the Wild with Transformer , 2021 .
[70] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[71] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.