SmallObjectDetectionList

List of the Papers Addressing Vision-based Small Object Detection, links to more than 50 papers are given below.(please cite the paper if you benefit from this repository):

### Submitted

BibTeX entry:
```
@ARTICLE{,
        title = {A Survey of the Four Pillars for Small Object Detection: Multi-scale Representation, Contextual Information, Super-resolution, and Region Proposal},
      journal = {IEEE Transactions on Systems, Man and Cybernetics: Systems},
         year = {2020},
        pages = {},
      author  = {Chen, Guang and Wang, Haitao and Chen, Kai and Li, Zhijun and Song, Zida and Liu, Yinlong and Chen, Wenkai and Knoll, Alois}, 
       eprint = {} 
}
```

How to request addition of a paper

If you know of a paper that addresses an Vision-based Small Object Detection problem and is not on this repository, you are welcome to request the addition of that paper by submitting a pull request. In your pull request please briefly state which section of your paper is related to which problem.

Table of Contents

1.Multi-scales representation

1.1 Multiple feature maps fusion
1.2 Connection method of different feature maps

2.Contextual information

3.Super-Resolution

4.Region-proposal

5.Others

5.1 Traffic road object detection
5.2 Others

6.Datasets

6.1 Datasets for traffic road scene
6.2 Datasets for generic small objects
6.3 Datasets for single category

1. Multi-scales representation <a name="1"></a>

1.1. Multiple feature maps fusion <a name="1.1"></a>

• MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects, arXiv 2018, [paper]
• MR-CNN: A Multi-Scale Region-Based Convolutional Neural Network for Small Traffic Sign Recognition, IEEE Acess 2019, [paper]
• Improving Tiny Vehicle Detection in Complex Scenes, IEEE ICME 2018, [paper]
• Small Object Detection with Multiscale Features, Int. J. Digit. Multimedia Broadcast 2018, [paper]
• A detection method for low-pixel ratio object, Multimed Tools Appl 2019, [paper]
• Research on Small Size Object Detection in Complex Background, CAC 2018, [paper]
• Small Object Detection Using Deep Feature Pyramid Networks, PCM 2018, [paper]
• Multiple receptive fields and small-object-focusing weaklysupervised segmentation network for fast object detection, arXiv 2019, [paper]
• A Block Object Detection Method Based on Feature Fusion Networks for Autonomous Vehicles, Complexity 2019, [paper]
• Small Object Sensitive Segmentation of Urban Street Scene with Spatial Adjacency Between Object Classes, IEEE TIP 2019, [paper]
• Small traffic sign detection from large image, Springer Applied Intelligence 2019, [paper]

1.2. Connection method of different feature maps <a name="1.2"></a>

• Detecting Small Objects Using a Channel-Aware Deconvolutional Network, IEEE TCSVT 2019, [paper]
• A unified multi-scale deep convolutional neural network for fast object detection, ECCV 2016, [paper]

2. Contextual Information <a name="2"></a>

• Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks, CVPR 2016, [paper]
• VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection, IEEE TIP 2019, [paper]
• R-CNN for Small Object Detection, ACCV 2016, [paper]
• Detecting The Objects on The Road Using Modular Lightweight Network, arXiv 2019, [paper]
• Feature-fused ssd: fast detection for small objects, ICGIP 2017, [paper] [code]
• Spatial Memory for Context Reasoning in Object Detection, ICCV 2017, [paper]
• P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization, IEEE TPAMI 2019, [paper]
• ContextAware Single-Shot Detector, WACV 2018, [paper]
• Detecting Traffic Lights by Single Shot Detection, ITSC 2018, [paper] [code]
• SCAN: Semantic Context Aware Network for Accurate Small Object Detection, IJCIS 2018, [paper]
• SINet: A Scale Insensitive Convolutional Neural Network for Fast Vehicle Detection, IEEE ITS 2019, [paper]
• Robust Obstacle Detection and Recognition for Driver Assistance Systems, IEEE ITS 2019, [paper]
• Small Object Detection Using Context Information Fusion in Faster R-CNN, IEEE ICCC 2018, [paper]

3. Super-Resolution <a name="3"></a>

• JCS-Net: Joint Classification and SuperResolution Network for Small-scale Pedestrian Detection in Surveillance Images, IEEE TIFS 2019, [paper]
• Accurate image super-resolution using very deep convolutional networks, CVPR 2016, [paper]
• Finding tiny faces in the wild with generative adversarial network, CVPR 2018, [paper]
• Multi-branch fully convolutional network for face detection, arXiv 2017, [paper]
• SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network, ECCV 2018, [paper]
• Improving Small Object Detection, ACPR 2017, [paper]
• Perceptual Generative Adversarial Networks for Small Object Detection, CVPR 2017, [paper]
• Prior Knowledge Guided Small Object Detection on High-Resolution Images, IEEE ICIP 2019, [paper]

4. Region-Proposal <a name="4"></a>

• AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects, ACCV 2018, [paper] [code]
• A PSO and BFO-Based Learning Strategy Applied to Faster R-CNN for Object Detection in Autonomous Driving, IEEE Access 2019, [paper]
• Improving Small Object Proposals for Company Logo Detection, ICMR 2017, [paper]
• Augmentation for small object detection, arXiv 2019, [paper]
• Detecting Small Signs from Large Images, IEEE IRI 2017, [paper]
• Cascade Mask Generation Framework for Fast Small Object Detection, IEEE ICME 2018, [paper]
• Cascaded CNN Method for Far Object Detection in Outdoor Surveillance, IEEE SITIS 2018, [paper]
• SSD-MSN: An Improved Multi-scale Object Detection Network Based on SSD, IEEE Access 2019, [paper]
• Efficient Small Object Detection with an Improved Region Proposal Networks, IOP Conf. Ser.: Mater. Sci. Eng. 2019, [paper]

5. Others <a name="5"></a>

5.1. Traffic road object detection <a name="5.1"></a>

• Knowledge-based recurrent attentive neural network for small object detection, arXiv 2018, [paper]
• Efficient convNets for fast traffic sign recognition, IET ITS 2019, [paper]
• Real-time small traffic sign detection with revised faster-RCNN, Multimed Tools Appl 2019, [paper]
• Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation, ECCV 2018, [[paper]](http://openaccess.thecvf.com/cont