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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/maheshkkumar/fscc
공식 코드https://github.com/miao0913/SaCNN-CrowdCounting-Tencent_Youtu
공식 코드Crowd counting via scale-adaptive convolutional neural network
https://github.com/needylove/ordinalentropy
공식 코드https://github.com/oahunc/Pyramid_Scale_Network
공식 코드Exploit the potential of Multi-column architecture for Crowd Counting
https://github.com/opengvlab/humanbench
공식 코드HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
https://github.com/pris-cv/mssrm
공식 코드https://github.com/ptarling/DeepLearningFishCounting
공식 코드https://github.com/qingzwang/AudioVisualCrowdCounting
공식 코드Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
https://github.com/raccoondml/chsnet
공식 코드Cross-head Supervision for Crowd Counting with Noisy Annotations
https://github.com/rcvlab-aiimlab/crowd_counting
공식 코드Multiscale Crowd Counting and Localization By Multitask Point Supervision
https://github.com/shimmer93/mpcount
공식 코드https://github.com/shizenglin/Counting-with-Focus-for-Free
공식 코드VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
https://github.com/shunchang-liu/pap-pytorch
공식 코드Harnessing Perceptual Adversarial Patches for Crowd Counting
https://github.com/smallmax00/SUA_crowd_counting
공식 코드https://github.com/songrise/clip-count
공식 코드https://github.com/streamer-AP/PML_Loss
공식 코드https://github.com/svishwa/crowdcount-cascaded-mtl
공식 코드CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting
https://github.com/sweetyy83/Lstn_fdst_dataset
공식 코드Locality-constrained Spatial Transformer Network for Video Crowd Counting
https://github.com/syhien/taste_more_taste_better
공식 코드Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
https://github.com/tanghaihan/tafnet
공식 코드TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting
https://github.com/tanyjiang/eoco
공식 코드A Unified Object Counting Network with Object Occupation Prior
https://github.com/taohan10200/IIM
공식 코드Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer
https://github.com/taohan10200/NLT
공식 코드Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
https://github.com/taohan10200/drnet
공식 코드DR.VIC: Decomposition and Reasoning for Video Individual Counting
https://github.com/tencentyouturesearch/crowdcounting-p2pnet
공식 코드Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework
https://github.com/tencentyouturesearch/crowdcounting-uepnet
공식 코드Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting
https://github.com/val-iisc/css-ccnn
공식 코드Completely Self-Supervised Crowd Counting via Distribution Matching
https://github.com/val-iisc/lsc-cnn
공식 코드Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
https://github.com/vcllab/csca
공식 코드Spatio-channel Attention Blocks for Cross-modal Crowd Counting
https://github.com/weizheliu/Context-Aware-Crowd-Counting
공식 코드https://github.com/weizheliu/People-Flows
공식 코드https://github.com/wskingdom/crowd-hat
공식 코드Boosting Detection in Crowd Analysis via Underutilized Output Features
https://github.com/xhp-hust-2018-2011/S-DCNet
공식 코드From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
https://github.com/xhp-hust-2018-2011/dcreg
공식 코드https://github.com/xialeiliu/CrowdCountingCVPR18
공식 코드Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
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