| EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson Regression | ✓ Link | 5.51 | | 8.63 | EBC-ZIP-B | 2025-06-24 |
| Crowd Counting and Individual Localization Using Pseudo Square Label | | 5.8 | | 9.2 | PSL-Net | 2024-05-13 |
| CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification | ✓ Link | 5.9 | | 9.2 | CLIP-EBC (ViT-L/14) | 2024-03-14 |
| CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification | ✓ Link | 6.0 | | 10.1 | CLIP-EBC (ResNet50) | 2024-03-14 |
| Rethinking Spatial Invariance of Convolutional Networks for Object Counting | ✓ Link | 6.0 | | | GauNet (ResNet-50) | 2022-06-10 |
| Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss | ✓ Link | 6.3 | | | SGANet | 2019-11-18 |
| Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting | ✓ Link | 6.32 | 10.06 | | M-SFANet+M-SegNet | 2020-03-12 |
| Learning Spatial Awareness to Improve Crowd Counting | | 6.5 | | | SPANet | 2019-09-16 |
| CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification | ✓ Link | 6.6 | | 10.5 | CLIP-EBC (ViT-B/16) | 2024-03-14 |
| Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss | ✓ Link | 6.6 | | | SGANet + CL | 2019-11-18 |
| From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer | ✓ Link | 6.7 | | | S-DCNet | 2019-08-15 |
| FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion | ✓ Link | 6.9 | 11.8 | | FusionCount | 2022-02-28 |
| CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification | ✓ Link | 6.9 | | 11.3 | CSRNet-EBC | 2024-03-14 |
| CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification | ✓ Link | 7.0 | | 10.9 | DMCount-EBC | 2024-03-14 |
| Distribution Matching for Crowd Counting | ✓ Link | 7.4 | | | DM-Count | 2020-09-28 |
| Context-Aware Crowd Counting | ✓ Link | 7.8 | | | CAN | 2018-11-26 |
| Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection | ✓ Link | 8.1 | | | LSC-CNN | 2019-06-18 |
| Scale Aggregation Network for Accurate and Efficient Crowd Counting | ✓ Link | 8.4 | | | SANet | 2018-09-01 |
| Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance | ✓ Link | 8.7 | | | APGCC | 2024-05-17 |
| Improving Deep Regression with Ordinal Entropy | ✓ Link | 9.1 | 14.5 | | OrdinalEntropy | 2023-01-21 |
| Few-shot Object Counting with Similarity-Aware Feature Enhancement | ✓ Link | 9.98 | | | SAFECount | 2022-01-22 |
| CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes | ✓ Link | 10.6 | | | CSRNet | 2018-02-27 |
| Iterative Crowd Counting | | 10.7 | | | ic-CNN | 2018-07-26 |
| Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN | | 13.6 | | | IG-CNN | 2018-07-26 |
| Leveraging Unlabeled Data for Crowd Counting by Learning to Rank | ✓ Link | 13.7 | | | Liu et al. | 2018-03-08 |
| Crowd Counting via Adversarial Cross-Scale Consistency Pursuit | ✓ Link | 17.2 | | | ACSCP | 2018-06-01 |
| Crowd Counting With Deep Negative Correlation Learning | ✓ Link | 18.7 | | | D-ConvNet | 2018-06-01 |
| CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting | ✓ Link | 20 | | | Cascaded-MTL | 2017-07-30 |
| Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs | | 20.1 | | | CP-CNN | 2017-08-02 |
| Switching Convolutional Neural Network for Crowd Counting | ✓ Link | 21.6 | | | Switch-CNN | 2017-08-01 |
| Single-Image Crowd Counting via Multi-Column Convolutional Neural Network | ✓ Link | 26.4 | | | MCNN | 2016-01-01 |
| Cross-Scene Crowd Counting via Deep Convolutional Neural Networks | | 32.0 | | | Zhang et al. | 2015-06-01 |