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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/chayanchatterjee/cbc-skynet
https://github.com/chayanchatterjee/gw-skylocator
https://github.com/chrhenning/hypercl
https://github.com/cj-mclaughlin/segmentation_research
https://github.com/cjfghk5697/Pytorch-Research-Paper-Implementations
https://github.com/cmasch/densenet
https://github.com/cocopambag/ResNet
https://github.com/code-implementation1/Code1/tree/main/densenet
https://github.com/code-implementation1/Code3/tree/main/FaceAttribute
https://github.com/code-implementation1/Code4/tree/main/Inception-v2
Inception-Based Crowd Counting -- Being Fast while Remaining Accurate
https://github.com/code-implementation1/Code5/tree/main/lresnet100e_ir
https://github.com/code-implementation1/Code7/tree/main/resnetv2
https://github.com/cornell-zhang/allo-pldi24-artifact
https://github.com/danielamassiceti/CCA-visualdialogue
https://github.com/danielenricocahall/Keras-SegNet
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/danielparada1/RL_SpaceInvaders
https://github.com/datoboat/Vehicle-Detection
https://github.com/dattatrayshinde/oc_sd
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
https://github.com/davideverona/deep-crowd-counting_crowdnet
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
https://github.com/dead-mazai/avia-missing-airplanes
https://github.com/deepmind/dm-haiku
https://github.com/deepmodeling/deepmd-kit
https://github.com/deepquestai/fire-smoke-dataset
https://github.com/demul/ResidualNet
https://github.com/deontaepharr/Residual-Attention-Network
https://github.com/divamgupta/image-segmentation-keras
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/dk-liang/AutoScale_regression
AutoScale: Learning to Scale for Crowd Counting and Localization
https://github.com/dmburd/S-DCNet
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
https://github.com/dmizr/phuber
https://github.com/dnddnjs/pytorch-cifar10
https://github.com/dssbxx/k_labels_resnet50
https://github.com/duchaba/Norwegian_Blue_Parrot_k2fa_AI
https://github.com/earthLD/Algorithm
https://github.com/enzomuschik/distilfnd
https://github.com/eric-erki/IdenProf
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.