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LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation

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    • 书签
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    • 方法论
      • How to Read a Paper
      • Bag of Tricks for Image Classification
    • 论文相关
      • 论文单词
      • 微软亚洲研究院创研论坛 CVPR 2019 论文分享
      • Paper List
      • Saliency Detection
      • Something About Graph
    • 图像分类
      • Vision Transformers with Hierarchical Attention
      • ActiveMLP: An MLP-like Architecture with Active Token Mixer
      • Fast Vision Transformers with HiLo Attention
      • TRT-ViT: TensorRT-oriented Vision Transformer
      • EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers
      • Neighborhood Attention Transformer
      • Container: Context Aggregation Network
      • ELSA: Enhanced Local Self-Attention for Vision Transformer
      • DynaMixer: A Vision MLP Architecture with Dynamic Mixing
      • On the Integration of Self-Attention and Convolution
      • X-volution: On the Unification of Convolution and Self-attention
      • S2-MLP V1&V2 : Spatial-Shift MLP Architecture for Vision
      • CycleMLP: A MLP-like Architecture for Dense Prediction
      • RaftMLP: Do MLP-based Models Dream of Winning Over Computer Vision?
      • Hire-MLP: Vision MLP via Hierarchical Rearrangement
      • Sparse-MLP: A Fully-MLP Architecture with Conditional Computation
      • ConvMLP: Hierarchical Convolutional MLPs for Vision
      • Involution: Inverting the Inherence of Convolution for Visual Recognition
      • LambdaNetworks: Modeling long-range Interactions without Attention
      • Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
      • Attention Augmented Convolutional Networks
      • FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
    • 显著性检测
      • 传统显著性检测
        • A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
        • Learning to Detect A Salient Object
        • Ranking Saliency
        • Saliency Detection: A Spectral Residual Approach
        • Global Contrast based Salient Region Detection
        • Bayesian Saliency via Low and Mid Level Cues
        • Saliency Detection via Graph-Based Manifold Ranking
        • Visual Saliency Detection Based on Bayesian Model
        • Dense and Sparse Reconstruction Error Based Saliency Descriptor
        • Saliency Detection Based on Integration of Boundary and Soft-Segmentation
        • Saliency Detection with Multi-Scale Superpixels
        • Saliency Detection via Dense and Sparse Reconstruction
        • Graph-Regularized Saliency Detection With Convex-Hull-Based Center Prior
      • 深度显著性检测
        • 视频
          • Shifting More Attention to Video Salient Object Detection
          • Motion Guided Attention for Video Salient Object Detection
        • 图片
          • Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
          • ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
          • Re-thinking Co-Salient Object Detection
          • CVPR2020的显著性文章一览
          • Global Context-Aware Progressive Aggregation Network for Salient Object Detection
          • F3Net: Fusion, Feedback and Focus for Salient Object Detection
          • Progressive Feature Polishing Network for Salient Object Detection
          • Towards High-Resolution Salient Object Detection
          • Selectivity or Invariance: Boundary-Aware Salient Object Detection
          • ICCV2019的显著性文章一览
          • 一些之前的论文
          • SAC-Net: Spatial Attenuation Contextfor Salient Object Detection
          • Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
          • Contour Loss: Boundary-Aware Learning for Salient Object Segmentation
          • CVPR2018的显著性文章一览
          • A Bi-directional Message Passing Model for Salient Object Detection
          • Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
          • Learning to Promote Saliency Detectors
          • SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection
          • Salient Object Detection: A Survey
          • CVPR2019的显著性文章一览
          • Salient Object Detection with Pyramid Attention and Salient Edges
          • Learning Uncertain Convolutional Features for Accurate Saliency Detection
          • Attentive Feedback Network for Boundary-Aware Salient Object Detection
          • MEnet: A Metric Expression Network for Salient Object Segmentation
          • Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
          • BASNet: Boundary Aware Salient Object Detection
          • Pyramid Feature Attention Network for Saliency detection
          • Learning to Detect Salient Objects with Image-level Supervision
          • Deeply Supervised Salient Object Detection with Short Connections
          • A Simple Pooling-Based Design for Real-Time Salient Object Detection
          • Saliency Detection with Recurrent Fully Convolutional Networks
          • An Iterative and Cooperative Top-down and Bottom-up Inference Network for Salient Object Detection
          • A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision
    • 图神经网络
      • Deep Learning on Graphs: A Survey
      • Graph Neural Networks: A Review of Methods and Applications
      • Learning with Local and Global Consistency
      • Ranking on Data Manifolds
      • PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
      • Semi-supervised Classification with Graph Convolutional Networks
      • Semantic Object Parsing with Graph LSTM
        • 论文翻译 | Semantic Object Parsing with Graph LSTM
      • Interpretable Structure-Evolving LSTM
    • 递归神经网络
      • Pixel Recurrent Neural Networks
      • Multi-Dimensional Recurrent Neural Networks
      • Mixtures of Conditional Gaussian Scale Mixtures Applied to Multiscale Image Representations
      • Generative Image Modeling Using Spatial LSTMs
      • Convolutional LSTM Network: A Machine LearningApproach for Precipitation Nowcasting
    • 图像分割
      • 视频分割
        • 关注Temporal Consistency的Video Model
        • ECCV 20 VOS论文一览
        • Video Object Segmentation using Space-Time Memory Networks
        • Motion-Attentive Transition for Zero-Shot Video Object Segmentation
        • See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
      • 图像分割
        • StructToken: Rethinking Semantic Segmentation with Structural Prior
        • Dense Prediction with Attentive Feature Aggregation
        • U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
        • Towards Enhancing Fine-grained Details for Image Matting
        • 使用bi-directional propagation来获取全局上下文
        • Dual Super-Resolution Learning for Semantic Segmentation
        • SegFix: Model-Agnostic Boundary Refinement for Segmentation
        • Conditional Convolutions for Instance Segmentation
        • Segmenting Transparent Objects in the Wild
        • Depth与Convolution
        • Dynamic Filters for Semantic Segmentation
        • Dynamic Filter Networks
        • Dynamic Filtering with Large Sampling Field for ConvNets
        • Semi-convolutional Operators forInstance Segmentation
        • Gated Feedback Refinement Network for Dense Image Labeling
        • A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
        • Learning a Discriminative Feature Network for Semantic Segmentation
        • LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
        • Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network
        • FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
        • Superpixel Sampling Networks
        • Adaptive Affinity Fields for Semantic Segmentation
        • Context Encoding for Semantic Segmentation
        • Dual Attention Network for Scene Segmentation
        • Dilated Residual Networks
        • DenseASPP for Semantic Segmentation in Street Scenes
        • Understand Convolution for Semantic Segmentation
        • FickleNet: Weakly and Semi-supervised Semantic Image Segmentationusing Stochastic Inference
        • Decoders Matter for Semantic Segmentation:Data-Dependent Decoding Enables Flexible Feature Aggregation
        • 3D Graph Neural Networks for RGBD Semantic Segmentation
    • 生成对抗网络
      • Generative Adversarial Networks
    • 目标检测
      • 图片
        • FCOS: Fully Convolutional One-Stage Object Detection
    • 图像恢复
      • Deep Image Prior
    • 长尾分布
      • DECOUPLING REPRESENTATION AND CLASSIFIER FOR LONG-TAILED RECOGNITION
    • 视频行为识别
      • Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
    • 深度学习解析
      • NIPS 2016 | Residual Networks Behave Like Ensembles of Relatively Shallow Networks
    • 指标设计
      • Image quality assessment: from error visibility to structural similarity
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