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2025-07-31 16:23

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Updated README.md

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  # ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling
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  <!--
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  [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ebc-zip-improving-blockwise-crowd-counting/crowd-counting-on-shanghaitech-a)](https://paperswithcode.com/sota/crowd-counting-on-shanghaitech-a?p=ebc-zip-improving-blockwise-crowd-counting)
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  ## Step 5: Visualize the Results
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- Use the `notebooks/model.ipynb` notebook to visualize the results.
 
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+ ---
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+ license: mit
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+ model-index:
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+ - name: ZIP-B
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+ results:
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+ - task:
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+ type: crowd_counting
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+ dataset:
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+ name: ShanghaiTech A
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+ type: shanghaitech_a
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+ metrics:
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+ - name: MAE
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+ type: MAE
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+ value: 47.81
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+ - name: RMSE
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+ type: RMSE
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+ value: 75.04
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+ - name: NAE
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+ type: NAE
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+ value: 0.1106
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+ - task:
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+ type: crowd_counting
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+ dataset:
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+ name: ShanghaiTech B
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+ type: shanghaitech_b
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+ metrics:
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+ - name: MAE
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+ type: MAE
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+ value: 5.51
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+ - name: RMSE
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+ type: RMSE
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+ value: 8.63
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+ - name: NAE
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+ type: NAE
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+ value: 0.0408
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+ - task:
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+ type: crowd_counting
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+ dataset:
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+ name: UCF-QNRF
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+ type: ucf_qnrf
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+ metrics:
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+ - name: MAE
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+ type: MAE
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+ value: 69.46
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+ - name: RMSE
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+ type: RMSE
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+ value: 121.88
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+ - name: NAE
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+ type: NAE
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+ value: 0.1018
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+ - task:
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+ type: crowd_counting
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+ dataset:
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+ name: NWPU-Crowd
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+ type: nwpu_crowd
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+ metrics:
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+ - name: MAE
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+ type: MAE
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+ value: 28.26
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+ - name: RMSE
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+ type: RMSE
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+ value: 64.84
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+ - name: NAE
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+ type: NAE
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+ value: 0.0920
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+ ---
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  # ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling
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  <!--
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  [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ebc-zip-improving-blockwise-crowd-counting/crowd-counting-on-shanghaitech-a)](https://paperswithcode.com/sota/crowd-counting-on-shanghaitech-a?p=ebc-zip-improving-blockwise-crowd-counting)
 
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  ## Step 5: Visualize the Results
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+ Use the `notebooks/model.ipynb` notebook to visualize the results.