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Crowd Counting
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Crowd Counting is a task to count people in image. It is mainly used in real-life for automated public monitoring such as surveillance and traffic control. Different from object detection, Crowd Counting aims at recognizing arbitrarily sized targets in various situations including sparse and cluttering scenes at the same time.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/niranjana98/Image-Classification
https://github.com/nisharaichur/SegNet-Encoder-Decoder-Architecture-for-Image-Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/nisharaichur/segNet_tensorflow
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/noahfl/densenet-sdr
https://github.com/northeastsquare/effficientnet
https://github.com/nsom/Basic-Models
https://github.com/nsom/VGG16
https://github.com/ntrin/CIFAR_10_ML
https://github.com/okason97/DenseNet-Tensorflow2
https://github.com/okason97/handshape-recognition
https://github.com/okn-yu/SegNet-A-Deep-Convolutional-Encoder-Decoder-Architecture-for-Image-Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/ollewelin/libtorch-GPU-CNN-test-MNIST-with-Batchnorm
https://github.com/open-mmlab/mmclassification
https://github.com/open-mmlab/mmpose
https://github.com/oskyhn/CNNs-Without-Borders
https://github.com/osmr/imgclsmob
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/oxygen0605/ImageClassification
https://github.com/p-mc-grath/DMMFODS
https://github.com/pa56/SegNet_on_Cityscapes
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/pa56/SegNetonCityscapes
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/pacharadanait/Densnet_project
https://github.com/paperswithcode/paperswithcode-client
https://github.com/parviagrawal/IdenProf
https://github.com/patientzero/timage-icann2019
https://github.com/paulblum00/ResNet-Recreation
https://github.com/pawelbeza/ClothesDetectorModel
https://github.com/peteryuX/arcface-tf2
https://github.com/phillity/BioCapsule
https://github.com/pikkaay/efficientnet_gpu
https://github.com/pmcgrath249/DMMFODS
https://github.com/pmcgrath249/DeepCVLab
https://github.com/pmcgrath249/DeepCV_Lab
https://github.com/poppinace/libranet
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
https://github.com/preddy5/segnet
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/priyankadeybhadra/CNN-on-CIFR
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.