Detecting Small Objects in Thermal Images Using Single-Shot Detector
SSD (Single Shot Multibox Detector) is one of the most successful object detectors for its high accuracy and fast speed. However, the features from shallow layer (mainly Conv4_3) of SSD lack semantic information, resulting in poor performance in small objects. In this paper, we proposed DDSSD (Dilation and Deconvolution Single Shot Multibox Detector), an enhanced SSD with a novel feature fusion module which can improve the performance over SSD for small object detection. In the feature fusion module, dilation convolution module is utilized to enlarge the receptive field of features from shallow layer and deconvolution module is adopted to increase the size of feature maps from high layer. Our network achieves 79.7% mAP on PASCAL VOC2007 test and 28.3% mmAP on MS COCO test-dev at 41 FPS with only 300x300 input using a single Nvidia 1080 GPU. Especially, for small objects, DDSSD achieves 10.5% on MS COCO and 22.8% on FLIR thermal dataset, outperforming a lot of state-of-the-art object detection algorithms in both aspects of accuracy and speed.
Code (0)
등록된 구현이 없습니다.
Tasks
GPUObjectobject-detectionObject DetectionSmall Object DetectionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
AI-based thermal bridge detection of building rooftops on district scale using aerial images
Thermal bridges are weak areas of building envelopes that conduct more heat to the outside than surrounding envelope areas. They lead to increased energy consumption and the formation of mold. With a neural network appro…
2D Object DetectionInstance SegmentationObject DetectionThe Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications
The integration of thermal imaging data with Multimodal Large Language Models (MLLMs) constitutes an exciting opportunity for improving the safety and functionality of autonomous driving systems and many Intelligent Tran…
Autonomous DrivingRobust Perceptual Night Vision in Thermal Colorization
Transforming a thermal infrared image into a robust perceptual colour Visible image is an ill-posed problem due to the differences in their spectral domains and in the objects' representations. Objects appear in one spec…
ColorizationDeep learning with RGB and thermal images onboard a drone for monitoring operations
This article describes the artificial intelligence (AI) component of a drone for monitoring and patrolling tasks associated with disaster relief missions in specific restricted disaster scenarios, as specified by the Adv…
Human DetectionMultispectral Object Detectionobject-detectionObject Detection+1Detecting Small Signs from Large Images
In the past decade, Convolutional Neural Networks (CNNs) have been demonstrated successful for object detections. However, the size of network input is limited by the amount of memory available on GPUs. Moreover, perform…
Objectobject-detectionObject Detection