SOD CNNs-based code list
對目前幾乎所有的利用深度學習的顯著性物體檢測算法進行了一個彙總，列表中主要包括公佈代碼或者結果的方法。
github鏈接：https://github.com/jiwei0921/SOD-CNNs-based-code-summary-/blob/master/README.md
We will keep updating it.
2D RGB Saliency Detection
2020
| No. | Pub. | Title | Links |
|---|---|---|---|
| 🚩 01 | AAAI | Progressive Feature Polishing Network for Salient Object Detection | Paper/Code |
| 🚩 02 | AAAI | Global Context-Aware Progressive Aggregation Network for Salient Object Detection | Paper/Code |
| 🚩 03 | AAAI | F3Net: Fusion, Feedback and Focus for Salient Object Detection | Paper/Code |
| 🚩 04 | AAAI | Multi-spectral Salient Object Detection by Adversarial Domain Adaptation | Paper/Code |
| 🚩 05 | AAAI | Multi-Type Self-Attention Guided Degraded Saliency Detection | Paper/Code |
2019
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | CVPR | AFNet: Attentive Feedback Network for Boundary-aware Salient Object Detection | Paper/Code |
| 02 | CVPR | BASNet: Boundary Aware Salient Object Detection | Paper/Code |
| 03 | CVPR | CPD: Cascaded Partial Decoder for Accurate and Fast Salient Object Detection | Paper/Code |
| 04 | CVPR | Multi-source weak supervision for saliency detection | Paper/Code |
| 05 | CVPR | MLMSNet:A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision | Paper/Code |
| 06 | CVPR | CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection | Paper/Code |
| 07 | CVPR | PoolNet: A Simple Pooling-Based Design for Real-Time Salient Object Detection | Paper/Code |
| 08 | CVPR | An Iterative and Cooperative Top-down and Bottom-up Inference Network for Salient Object Detection | Paper/Code |
| 09 | CVPR | Pyramid Feature Attention Network for Saliency detection | Paper/Code |
| 10 | AAAI | Deep Embedding Features for Salient Object Detection | Paper/Code |
| 11 | ICIP | Salient Object Detection Via Deep Hierarchical Context Aggregation And Multi-Layer Supervision | Paper/Code |
| 12 | IEEE TCSVT | AADF-Net: Aggregating Attentional Dilated Features for Salient Object | Paper/Code |
| 13 | IEEE TCyb | ROSA: Robust Salient Object Detection against Adversarial Attacks | Paper/Code |
| 14 | arXiv | DSAL-GAN: DENOISING BASED SALIENCY PREDICTION WITH GENERATIVE ADVERSARIAL NETWORKS | Paper/Code |
| 15 | arXiv | SAC-Net: Spatial Attenuation Context for Salient Object Detection | Paper/Code |
| 16 | arXiv | SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection | Paper/Code |
| 17 | arXiv | Region Refinement Network for Salient Object Detection | Paper/Code |
| 18 | arXiv | Contour Loss: Boundary-Aware Learning for Salient Object Segmentation | Paper/Code |
| 19 | arXiv | OGNet: Salient Object Detection with Output-guided Attention Module | Paper/Code |
| 20 | arXiv | Edge-guided Non-local Fully Convolutional Network for Salient Object Detection | Paper/Code |
| 21 | ICCV | FLoss:Optimizing the F-measure for Threshold-free Salient Object Detection | Paper/Code |
| 22 | ICCV | Stacked Cross Refinement Network for Salient Object Detection | Paper/Code |
| 23 | ICCV | Selectivity or Invariance: Boundary-aware Salient Object Detection | Paper/Code |
| 24 | ICCV | HRSOD:Towards High-Resolution Salient Object Detection | Paper/Code |
| 25 | ICCV | EGNet:Edge Guidance Network for Salient Object Detection | Paper/Code |
| 26 | ICCV | Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection | Paper/Code |
| 27 | ICCV | Employing Deep Part-Object Relationships for Salient Object Detection | Paper/Code |
| 🚩 28 | NeurIPS | Deep Robust Unsupervised Saliency Prediction With Self-Supervision | Paper/Code |
2018
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | CVPR | A Bi-Directional Message Passing Model for Salient Object Detection | Paper/Code |
| 02 | CVPR | PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection | Paper/Code |
| 03 | CVPR | PAGR: Progressive Attention Guided Recurrent Network for Salient Object Detection | Paper/Code |
| 04 | CVPR | Learning to promote saliency detectors | Paper/Code |
| 05 | CVPR | Detect Globally, Refine Locally: A Novel Approach to Saliency Detection | Paper/Code |
| 06 | CVPR | Salient Object Detection Driven by Fixation Prediction | Paper/Code |
| 07 | IJCAI | R3Net: Recurrent Residual Refinement Network for Saliency Detection | Paper/Code |
| 08 | IJCAI | LFR: Salient Object Detection by Lossless Feature Reflection | Paper/Code |
| 09 | ECCV | Contour Knowledge Transfer for Salient Object Detection | Paper/Code |
| 10 | ECCV | Reverse Attention for Salient Object Detection | Paper/Code |
| 11 | IEEE TIP | An unsupervised game-theoretic approach to saliency detection | Paper/Code |
| 12 | arXiv | Agile Amulet: Real-Time Salient Object Detection with Contextual Attention | Paper/Code |
| 13 | arXiv | HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection | Paper/Code |
| 14 | arXiv | (TBOS)Three Birds One Stone: A Unified Framework for Salient Object Segmentation, Edge Detection and Skeleton Extraction | Paper/Code |
2017
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | CVPR | DSS: Deeply Supervised Salient Object Detection with Short Connections | Paper/Code |
| 02 | CVPR | Non-Local Deep Features for Salient Object Detection | Paper/Code |
| 03 | CVPR | Learning to Detect Salient Objects with Image-level Supervision | Paper/Code |
| 04 | CVPR | SalGAN: visual saliency prediction with adversarial networks | Paper/Code |
| 05 | ICCV | A Stagewise Refinement Model for Detecting Salient Objects in Images | Paper/Code |
| 06 | ICCV | Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection | Paper/Code |
| 07 | ICCV | Learning Uncertain Convolutional Features for Accurate Saliency Detection | Paper/Code |
2016
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | CVPR | DHSNet: Deep hierarchical saliency network for salient object detection | Paper/Code |
| 02 | CVPR | ELD: Deep Saliency with Encoded Low level Distance Map and High Level Features | Paper/Code |
| 03 | ECCV | RFCN: Saliency detection with recurrent fully convolutional networks | Paper/Code |
3D RGB-D Saliency Detection
2020
| No. | Pub. | Title | Links |
|---|---|---|---|
| 🚩 01 | CVPR | JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection | Paper/Code |
2019
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | ICCV | DMRA: Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection | Paper/Code |
| 02 | CVPR | CPFP: Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection | Paper/Code |
| 03 | IEEE TIP | Three-stream Attention-aware Network for RGB-D Salient Object Detection | Paper/Code |
| 04 | IEEE PR | Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGB-D salient object detection | Paper/Code |
| 05 | arXiv | AFNet: Adaptive Fusion for RGB-D Salient Object Detection | Paper/Code |
| 06 | IEEE TNNLS | D3Net:Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks | Paper/Code |
| 07 | arXiv | CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse | Paper/Code |
2018
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | CVPR | PCA: Progressively Complementarity-aware Fusion Network for RGB-D Salient Object Detection | Paper/Code |
| 02 | IEEE TIP | Co-saliency detection for RGBD images based on multi-constraint feature matching and cross label propagation | Paper/Code |
| 03 | ICME | PDNet: Prior-Model Guided Depth-enhanced Network for Salient Object Detection | Paper/Code |
2017
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | ICCV | Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features | Paper/Code |
| 02 | IEEE TIP | DF: RGBD Salient Object Detection via Deep Fusion | Paper/Code |
| 03 | IEEE TCyb | CTMF: Cnns-based rgb-d saliency detection via cross-view transfer and multiview fusion | Paper/Code |
Traditional methods
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | MTA | RGBD co-saliency detection via multiple kernel boosting and fusion | Paper/Code |
| 02 | ICCV17 | An Innovative Salient Object Detection Using Center-Dark Channel Prior | Paper/Code |
| 03 | IEEE SPL | Saliency detection for stereoscopic images based on depth confidence analysis and multiple cues fusion | Paper/Code |
| 04 | IEEE SPL | RGBD Co-saliency Detection via Bagging-Based Clustering | Paper/Code |
| 05 | CVPR | Exploiting Global Priors for RGB-D Saliency Detection | Paper/Code |
4D Light Field Saliency Detection
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | TOMM | MCA: Saliency Detection on Light Field: A Multi-Cue Approach | Paper/Code |
| 02 | IJCAI | DILF: Saliency Detection with a Deeper Investigation of Light Field | Paper/Code |
| 03 | CVPR | WSC: A Weighted Sparse Coding Framework for Saliency Detection | Paper/Code |
| 04 | IEEE PAMI | Saliency Detection on Light-Field | Paper/Code |
| 05 | ICCV | Deep Learning for Light Field Saliency Detection | Paper/Code |
| 06 | NeurIPS | Memory-oriented Decoder for Light Field Salient Object Detection | Paper/Code |
| 07 | AAAI | Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection | Paper/Code |
Video Salient Object Detection
2019
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | ICCV | Motion Guided Attention for Video Salient Object Detection | Paper/Code |
| 02 | ICCV | Semi-Supervised Video Salient Object Detection Using Pseudo-Labels | Paper/Code |
| 03 | ICCV | Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection | Paper/Code |
| 04 | ICCV | RANet：Ranking attention Network for Fast Video Object Segmentation | Paper/Code |
| 05 | CVPR | Shifting More Attention to Video Salient Objection Detection | Paper/Code |
| 06 | CVPR | Learning Unsupervised Video Object Segmentation through Visual Attention | Paper/Code |
| 07 | CVPR | See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks | Paper/Code |
2018
| No. | Pub. | Title | Links |
|---|---|---|---|
| 01 | ECCV | Pyramid Dilated Deeper CoonvLSTM for Video Salient Object Detection | Paper/Code |
| 02 | ECCV | DeepVS: A Deep Learning Based Video Saliency Prediction Approach | Paper/Code |
| 03 | CVPR | Revisiting Video Saliency: A Large-scale Benchmark and a New Model | Paper/Code |
| 04 | CVPR | Flow Guided Recurrent Neural Encoder for Video Salient Object Detection | Paper/Code |
| 05 | IEEE TIP | Video Salient Object Detection via Fully Convolutional Networks | Paper/Code |
Earlier Methods
- Salient Object Detection in the Deep Learning Era: An In-Depth Survey. paper link.
- This is a paper list published by another author. here
Comparison with state-of-the-arts
- Here includes the performance comparison of almost all 2D salient object detection algorithms.
The SOD dataset download
- 2D SOD datasets download1 or download2, download3.
- 3D SOD datasets download.
- 4D SOD datasets download.
- Video SOD datasets download.
Evaluation Metrics
-
Saliency maps evaluation.
This link near all evaluation metrics for salient object detection including E-measure, S-measure, F-measure, MAE scores and PR curves or bar metrics.
You can found in here. -
Saliency Dataset evaluation.
This repo can compute the ratio of obj.area and obj.contrast on binary saliency dataset. This Toolbox contains two evaluation metrics, including obj(object).area and obj.contrast.
You can found in here.