OpenCodePapers

crowd-counting-on-ucf-qnrf

CrowdsCrowd Counting
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PaperCodeMAERMSEMSEModelNameReleaseDate
EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson Regression✓ Link69.46121.88EBC-ZIP-B2025-06-24
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification✓ Link75.90130.48DMCount-EBC (16, dynamic)2024-03-14
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification✓ Link76.06127.72DMCount-EBC (32, dynamic)2024-03-14
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification✓ Link77.2130.4DMCount-EBC2024-03-14
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification✓ Link79.3135.8CSRNet-EBC2024-03-14
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance✓ Link80.1136.6APGCC2024-05-17
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification✓ Link80.3139.3CLIP-EBC (ViT-B/16)2024-03-14
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification✓ Link80.5136.6CLIP-EBC (ResNet50)2024-03-14
Rethinking Spatial Invariance of Convolutional Networks for Object Counting✓ Link81.6GauNet (ResNet-50)2022-06-10
Crowd Counting and Individual Localization Using Pseudo Square Label85.5144.4PSL-Net2024-05-13
Distribution Matching for Crowd Counting✓ Link85.6DM-Count2020-09-28
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting✓ Link85.6M-SFANet2020-03-12
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss✓ Link87.6SGANet + CL2019-11-18
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss✓ Link89.1SGANet2019-11-18
Context-Aware Crowd Counting✓ Link107CAN2018-11-26
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds132Idrees et al.2018-08-02
Densely Connected Convolutional Networks✓ Link163Densenet2012016-08-25
Deep Residual Learning for Image Recognition✓ Link190Resnet1012015-12-10
Switching Convolutional Neural Network for Crowd Counting✓ Link228Switch-CNN2017-08-01
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting✓ Link252Cascaded-MTL2017-07-30
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation✓ Link270Encoder-Decoder2015-11-02
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network✓ Link277MCNN2016-01-01
Multi-source Multi-scale Counting in Extremely Dense Crowd Images315Idrees et al.2013-06-01