Multispectral Object Detection
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Only using RGB cameras for automatic outdoor scene analysis is challenging when, for example, facing insufficient illumination or adverse weather. To improve the recognition reliability, multispectral systems add additional cameras (e.g. infra-red) and perform object detection from multispectral data. Although multispectral scene analysis with deep learning has be shown to have a great potential, there are still many open research questions and it has not been widely deployed in industrial contexts.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/TianchengQ/FCN
https://github.com/YigeunLee/fcn32
https://github.com/ZHANGHeng19931123/GAFF
https://github.com/alvinwen428/featurecp
https://github.com/andyzeng/apc-vision-toolbox
https://github.com/anoushkrit/Knowledge
https://github.com/azraelzhor/tf-FCN
https://github.com/colorfulxd/WK10_FCN
https://github.com/demul/image_segmentation_project
https://github.com/faroukmokhtar/ImageSegmentationPASCAL
https://github.com/frank-roesler/Image_Segmentation
https://github.com/fxfviolet/FCN_for_segmantic_segmentation
https://github.com/giovanniguidi/FCN-keras
https://github.com/githubfa/FCN
https://github.com/guilhermesantos/Semantic-Image-Segmentation
https://github.com/hahahappyboy/GANForCartoon
https://github.com/hitukensinn/quiz-w9-code
https://github.com/hz-ants/apc-vision-toolbox
https://github.com/inder9999/ISIC2017_skin_lesion_segmentation
https://github.com/jqueguiner/camembert-as-a-service
https://github.com/jqueguiner/image-segmentation
https://github.com/kbardool/mrcnn3
https://github.com/kn-joshua/Modality-Balanced-Multispectral-Pedestrian-Detection
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
https://github.com/koryako/AI-application
https://github.com/krutikabapat/Sematic_Segmentation_Using_Pytorch
https://github.com/lanthlove/segmentation-fcn
https://github.com/martinkersner/py_img_seg_eval
https://github.com/minoring/fcn
https://github.com/muramasa8191/DeepLearning
https://github.com/pessimiss/ai100-w9-master
https://github.com/pochih/fcn-pytorch
https://github.com/robromijnders/segm
https://github.com/sejong-rcv/INSANet
https://github.com/sejong-rcv/MLPD-Multi-Label-Pedestrian-Detection
https://github.com/shenshutao/image_segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.