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Salient Object Detection: A Survey
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2023-02-18 14:08:57
基于最新2018.09版本
文中总结了一些深度显著性检测网络的结构, 这里记录一下. 网络设计也是一个值得学习的地方:
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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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