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.

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

1.1. Multiple feature maps fusion

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

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

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

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

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

5.1. Traffic road object detection

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]
An Efficient Color Space for Deep-Learning Based Traffic Light Recognition, J Adv Transport 2018, [paper]
CFENet: An Accurate and Efficient Single-Shot Object Detector for Autonomous Driving, arXiv 2018, [paper]
Research on Vehicle Object Detection Method Based on Convolutional Neural Network, IEEE ISCID 2018, [paper]
An Improved Faster R-CNN for Small Object Detection, IEEE Access 2019, [paper]
Detecting Small Objects in Urban Settings Using SlimNet Model, IEEE TGRS 2019, [paper]
Smaller Object Detection for Real-Time Embedded Traffic Flow Estimation Using Fish-Eye Cameras, IEEE ICIP 2019, [paper]

5.2. others

An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection, CVPR 2019, [paper]
Evaluation of Deep Models for Real-Time Small Object Detection, ICONIP 2017, [paper]
Small-objectness sensitive detection based on shifted single shot detector, Multimed Tools Appl 2019, [paper]
CNN-based small object detection and visualization with feature activation mapping, IEEE IVCNZ 2017, [paper]
Real-Time Detecting Method of Marine Small Object with Underwater Robot Vision, IEEE OTO 2018, [paper]

6. Datasets

6.1. Datasets for traffic road scene

Lost and Found, [paper]
Swedish Traffic Signs, [paper]
Tsinghua-Tencent 100 K, [paper]
GTSDB, [paper]
CURE-TSD, [paper]

6.1. Datasets for generic small objects

Small Object Dataset, [paper]
CURE-OR, [paper]

6.3. Datasets for single category

WIDER FACE, [paper]
DeepScores, [paper]

Contact

Please contact Guang Chen (email:[email protected]) | Zida Song(email:[email protected]) for your questions about this webpage.

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