Scale-Adaptive Convolutions for Scene Parsing
Explore this paper's citation graph
- Type
- article
- Published
- 2017-10-01
- Cited by
- 196
- References
- 35
- OpenAlex
- https://openalex.org/W2780664485
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:21053940
Keywords
Computer science, Scale (ratio), Parsing, Convolution (computer science), Artificial intelligence
References
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Learning Deconvolution Network for Semantic Segmentation
- Fully convolutional networks for semantic segmentation
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- Feedforward semantic segmentation with zoom-out features
- Hypercolumns for object segmentation and fine-grained localization
- Selective Search for Object Recognition
- ImageNet: A large-scale hierarchical image database
- Adaptive deconvolutional networks for mid and high level feature learning
- Attention to Scale: Scale-Aware Semantic Image Segmentation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition
- Human Parsing with Contextualized Convolutional Neural Network
- Instance-Aware Semantic Segmentation via Multi-task Network Cascades
- The Cityscapes Dataset for Semantic Urban Scene Understanding
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- Semantic Understanding of Scenes Through the ADE20K Dataset
- Multi-Path Feedback Recurrent Neural Networks for Scene Parsing
- Fully Convolutional Instance-Aware Semantic Segmentation
Cited by
- Rethinking Atrous Convolution for Semantic Image Segmentation
- Implicit Negative Sub-Categorization and Sink Diversion for Object Detection
- A Survey on Deep Learning Methods for Robot Vision
- SurfConv: Bridging 3D and 2D Convolution for RGBD Images
- Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes
- High Resolution Feature Recovering for Accelerating Urban Scene Parsing
- Perspective-Aware CNN For Crowd Counting
- A Single Shot Text Detector with Scale-adaptive Anchors
- Scale equivariance in CNNs with vector fields
- Dense Relation Network: Learning Consistent and Context-Aware Representation for Semantic Image Segmentation
- OCNet: Object Context Network for Scene Parsing
- Style Separation and Synthesis via Generative Adversarial Networks
- Semantic Image Segmentation Based on Attentions to Intra Scales and Inner Channels
- Boosting Scene Parsing Performance via Reliable Scale Prediction
- Scene Parsing Via Dense Recurrent Neural Networks With Attentional Selection
- RelationNet: Learning Deep-Aligned Representation for Semantic Image Segmentation
- Deep gated attention networks for large-scale street-level scene segmentation
- Fusion Scheme for Semantic and Instance-level Segmentation
- A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels
- Perspective-Adaptive Convolutions for Scene Parsing
Related papers
- An Adaptable Real-Time Object Detection for Traffic Surveillance using R-CNN over CNN with Improved Accuracy
- Computational parsing : syntactic analysis - semanitic analysis - semantic interpretation - parsing algorithms - parsing strategies : bibliography
- Incremental scannerless generalized LR parsing
- The Fitted Parse: 100% Parsing Capability in a Syntactic Grammar of English
- The Structure Algorithm of LL Incremental Parse Table
- An Extended Theory of Head-Driven Parsing
- Design of Convolutional Neural Network Based on Reticulated Convolution Module
- Weed Identification using Convolutional Neural Network and Convolutional Neural Network Architectures