Dilated Residual Networks
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- Type
- preprint
- Published
- 2017-05-28
- Cited by
- 1,830
- References
- 19
- Access
- Open access
- OpenAlex
- https://openalex.org/W2619538244
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6592393
Keywords
Dilation (metric space), Residual, Computer science, Artificial intelligence, Segmentation
References
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Some Improvements on Deep Convolutional Neural Network Based Image Classification
- Learning Deconvolution Network for Semantic Segmentation
- Fully convolutional networks for semantic segmentation
- Hypercolumns for object segmentation and fine-grained localization
- Going deeper with convolutions
- Context based object categorization: A critical survey
- ImageNet Large Scale Visual Recognition Challenge
- Empirical filter estimation for subpixel interpolation and matching
- 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
- Backpropagation Applied to Handwritten Zip Code Recognition
- ImageNet classification with deep convolutional neural networks
- Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
- Deep Residual Learning for Image Recognition
- Learning Deep Features for Discriminative Localization
- The Cityscapes Dataset for Semantic Urban Scene Understanding
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- Understanding Convolution for Semantic Segmentation
- Some Improvements on Deep Convolutional Neural Network Based Image Classification
- Multi-Scale Context Aggregation by Dilated Convolutions
Cited by
- Deformable Convolutional Networks
- TextureGAN: Controlling Deep Image Synthesis with Texture Patches
- Towards lightweight convolutional neural networks for object detection
- Deep Layer Aggregation
- Dilated Residual Network for Image Denoising
- Recognizing Objects in-the-Wild: Where do we Stand?
- Learning Multiviewpoint Context-Aware Representation for RGB-D Scene Classification
- CyCADA: Cycle-Consistent Adversarial Domain Adaptation
- Superpixel clustering with deep features for unsupervised road segmentation
- Domain Adaptation Using Adversarial Learning for Autonomous Navigation
- Spatially-Adaptive Filter Units for Deep Neural Networks
- From Lifestyle Vlogs to Everyday Interactions
- Target Code Guided Binary Hashing Representations with Deep Neural Network
- DRFNet: A lightweight and high accuracy network for resource-limited implementation
- Automatic Brain Tumor Segmentation by Deep Convolutional Networks and Graph Cuts
- Scene segmentation with deep neural networks
- Compressed Sensing MRI Using a Recursive Dilated Network
- Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering
- ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
- 3D computer vision based on machine learning with deep neural networks: A review