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https://doi.org/10.2139/ssrn.4658177

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inferredcites →https://doi.org/10.1007/978-3-030-01228-1_26openalex-extracted
Unified Perceptual Parsing for Scene Understanding
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_49openalex-extracted
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01240-3_17openalex-extracted
PSANet: Point-wise Spatial Attention Network for Scene Parsing
inferredcites →https://doi.org/10.1007/978-3-030-01246-5_36openalex-extracted
Adaptive Affinity Fields for Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-22796-8_11openalex-extracted
Graph-FCN for Image Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58520-4_1openalex-extracted
Class-Wise Dynamic Graph Convolution for Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58539-6_11openalex-extracted
Object-Contextual Representations for Semantic Segmentation
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-extracted
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1016/j.imavis.2022.104426openalex-extracted
Continual coarse-to-fine domain adaptation in semantic segmentation
inferredcites →https://doi.org/10.1016/j.jvcir.2023.103924openalex-extracted
Class semantic enhancement network for semantic segmentation
inferredcites →https://doi.org/10.1016/j.patcog.2020.107798openalex-extracted
Image super-resolution via channel attention and spatial graph convolutional network
inferredcites →https://doi.org/10.1016/j.patcog.2021.107940openalex-extracted
GPNet: Gated pyramid network for semantic segmentation
inferredcites →https://doi.org/10.1016/j.patcog.2021.108290openalex-extracted
Contextual ensemble network for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-extracted
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-extracted
The Cityscapes Dataset for Semantic Urban Scene Understanding
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-extracted
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-extracted
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.544openalex-extracted
Scene Parsing through ADE20K Dataset
inferredcites →https://doi.org/10.1109/cvpr.2017.660openalex-extracted
Pyramid Scene Parsing Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00141openalex-extracted
Min-Entropy Latent Model for Weakly Supervised Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00170openalex-extracted
Multi-label Zero-Shot Learning with Structured Knowledge Graphs
inferredcites →https://doi.org/10.1109/cvpr.2018.00388openalex-extracted
DenseASPP for Semantic Segmentation in Street Scenes
inferredcites →https://doi.org/10.1109/cvpr.2019.00326openalex-extracted
Dual Attention Network for Scene Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2019.00770openalex-extracted
Adaptive Pyramid Context Network for Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00897openalex-extracted
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01574openalex-extracted
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00261openalex-extracted
Rethinking Semantic Segmentation: A Prototype View
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01871openalex-extracted
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers
inferredcites →https://doi.org/10.1109/cvprw.2017.275openalex-extracted
SANet: Structure-Aware Network for Visual Tracking
inferredcites →https://doi.org/10.1109/iccv.2011.6126343openalex-extracted
Semantic contours from inverse detectors
inferredcites →https://doi.org/10.1109/iccv.2019.00069openalex-extracted
CCNet: Criss-Cross Attention for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2019.00350openalex-extracted
Information Entropy Based Feature Pooling for Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2019.00926openalex-extracted
Expectation-Maximization Attention Networks for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv48922.2021.00325openalex-extracted
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv48922.2021.00721openalex-extracted
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-extracted
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
inferredcites →https://doi.org/10.1109/icme46284.2020.9102838openalex-extracted
DG-FPN: Learning Dynamic Feature Fusion Based on Graph Convolution Network For Object Detection
inferredcites →https://doi.org/10.1109/jstars.2021.3105421openalex-extracted
Weakly-Supervised Domain Adaptation With Adversarial Entropy for Building Segmentation in Cross-Domain Aerial Imagery
inferredcites →https://doi.org/10.1109/lsp.2021.3124186openalex-extracted
BiAttnNet: Bilateral Attention for Improving Real-Time Semantic Segmentation
inferredcites →https://doi.org/10.1109/tits.2022.3228042openalex-extracted
Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenes
inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-extracted
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
inferredcites →https://doi.org/10.1109/tpami.2019.2898858openalex-extracted
Min-Entropy Latent Model for Weakly Supervised Object Detection
inferredcites →https://doi.org/10.1109/tpami.2022.3233584openalex-extracted
Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation
inferredcites →https://doi.org/10.1109/tpami.2023.3239194openalex-extracted
Differentiable Multi-Granularity Human Parsing
inferredcites →https://doi.org/10.1145/3065386openalex-extracted
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1609/aaai.v33i01.33017370openalex-extracted
Graph Convolutional Networks for Text Classification
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-extracted
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-extracted
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1411.4038openalex-extracted
Fully Convolutional Networks for Semantic Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1412.7062openalex-extracted
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
inferredcites →https://doi.org/10.48550/arxiv.1706.05587openalex-extracted
Rethinking Atrous Convolution for Semantic Image Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1709.01507openalex-extracted
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.48550/arxiv.1802.02611openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1811.11721openalex-extracted
CCNet: Criss-Cross Attention for Semantic Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1907.13426openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1909.06121openalex-extracted
Dual Graph Convolutional Network for Semantic Segmentation
inferredcites →https://doi.org/10.48550/arxiv.2003.10211openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2007.09690openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-extracted
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2106.08254openalex-extracted
BEiT: BERT Pre-Training of Image Transformers
inferredcites →https://doi.org/10.48550/arxiv.2112.09791openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2201.13027openalex-extracted
BOAT: Bilateral Local Attention Vision Transformer
inferredcites →https://doi.org/10.48550/arxiv.2206.02066openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2209.08575openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2305.02187openalex-extracted
CLUSTSEG: Clustering for Universal Segmentation
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