Papers with Code 아카이브
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/erikalu/class-agnostic-counting
https://github.com/ewinata/CIFAR-10
https://github.com/fL0n9/SKFAC-MindSpore
https://github.com/fabiofumarola/ultrayolo
https://github.com/fabxy/accessibilityCV
https://github.com/facebook/fb.resnet.torch
https://github.com/facebookarchive/fb.resnet.torch
https://github.com/facebookresearch/DomainBed
https://github.com/facebookresearch/hiera
https://github.com/facebookresearch/pycls
https://github.com/facebookresearch/stochastic_gradient_push
https://github.com/facundoq/transformational_measures_experiments
https://github.com/fastai/fastai
https://github.com/fchollet/deep-learning-models
https://github.com/felixgwu/img_classification_pk_pytorch
https://github.com/fengjiqiang/pretrainedmodel_pytorch
https://github.com/fengredrum/cnn-xla
https://github.com/flyyufelix/DenseNet-Keras
https://github.com/fxfviolet/Densenet_for_quiz_classification
https://github.com/gaelmoccand/RoadSegmentation_CNN
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/gaetandi/cheXpert
https://github.com/gaoguangshuai/Counting-from-Sky-A-Large-scale-Dataset-for-Remote-Sensing-Object-Counting-and-A-Benchmark-Method
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method
https://github.com/gargarchit/60DaysOfUdacity
https://github.com/gatheluck/Stronghold
https://github.com/gcr/torch-residual-networks
https://github.com/gjy3035/NWPU-Crowd-Sample-Code-for-Localization
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
https://github.com/glouppe/info8010-deep-learning
https://github.com/godwinrayanc/YOLOv1-Pytorch
https://github.com/google/flax/tree/master/examples/imagenet
https://github.com/gpleiss/limits_of_large_width
https://github.com/gpspelle/Crowd-Counting
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation
https://github.com/greatsharma/DeepLearning-Papers-Implementation
https://github.com/gundeep15/SCD_AI_Project
https://github.com/haonanguo/remote-sensing-chatgpt
https://github.com/hayko1995/JHU-CROWD-Detection
Focal Inverse Distance Transform Maps for Crowd Localization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.