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@@ -48,6 +48,36 @@ model-index:
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  - name: NAE
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  type: NAE
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  value: 0.1440
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling
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  <!--
@@ -56,17 +86,19 @@ model-index:
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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-ucf-qnrf)](https://paperswithcode.com/sota/crowd-counting-on-ucf-qnrf?p=ebc-zip-improving-blockwise-crowd-counting)
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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-nwpu-crowd-val)](https://paperswithcode.com/sota/crowd-counting-on-nwpu-crowd-val?p=ebc-zip-improving-blockwise-crowd-counting) -->
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  The official implementation of the paper [*ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling*](https://arxiv.org/pdf/2506.19955).
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  ## Reults
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- | **Variants** | **Size (M)** | **GFLOPS (on HD)** | **SHA (MAE)** | **SHA (RMSE)** | **SHA (NAE, %)** | **SHB (MAE)** | **SHB (RMSE)** | **SHB (NAE, %)** | **QNRF (MAE)** | **QNRF (RMSE)** | **QNRF (NAE, %)** |
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- |--------------|--------------|--------------------|---------------|----------------|------------------|---------------|----------------|------------------|----------------|-----------------|-------------------|
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- | -P (Pico) | 0.81 | 6.46 | 71.18 | 109.60 | 16.69 | 8.23 | 12.62 | 6.98 | 96.29 | 161.82 | 14.40 |
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- | -N (Nano) | 3.36 | 24.73 | 58.86 | 94.63 | 14.15 | 7.74 | 12.14 | 6.33 | 86.46 | 147.64 | 12.60 |
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- | -T (Tiny) | 10.53 | 61.39 | 56.36 | 86.09 | 13.26 | 6.67 | 9.90 | 5.52 | 76.02 | 129.40 | 11.10 |
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- | -S (Small) | 33.60 | 242.43 | 55.17 | 88.99 | 11.97 | 5.83 | 9.21 | 4.58 | 73.32 | 125.09 | 10.40 |
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- | -B (Base) | 105.60 | 800.99 | 47.81 | 75.04 | 11.06 | 5.51 | 8.63 | 4.48 | 69.46 | 121.88 | 10.18 |
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  ## Step 1: Install Dependencies
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  - name: NAE
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  type: NAE
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  value: 0.1440
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+ - task:
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+ type: crowd_counting
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+ dataset:
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+ name: NWPU-Crowd-Val
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+ type: nwpu_crowd_val
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+ metrics:
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+ - name: MAE
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+ type: MAE
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+ value: 66.94
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+ - name: RMSE
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+ type: RMSE
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+ value: 223.52
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+ - name: NAE
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+ type: NAE
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+ value: 0.1497
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+ - task:
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+ type: crowd_counting
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+ dataset:
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+ name: NWPU-Crowd-Test
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+ type: nwpu_crowd_test
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+ metrics:
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+ - name: MAE
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+ type: MAE
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+ value: 79.91
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+ - name: RMSE
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+ type: RMSE
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+ value: 327.17
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+ - name: NAE
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+ type: NAE
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+ value: 0.2142
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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-ucf-qnrf)](https://paperswithcode.com/sota/crowd-counting-on-ucf-qnrf?p=ebc-zip-improving-blockwise-crowd-counting)
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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-nwpu-crowd-val)](https://paperswithcode.com/sota/crowd-counting-on-nwpu-crowd-val?p=ebc-zip-improving-blockwise-crowd-counting) -->
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+ <a href="https://www.buymeacoffee.com/yiming.ma" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" height="41" width="174"></a>
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+
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  The official implementation of the paper [*ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling*](https://arxiv.org/pdf/2506.19955).
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  ## Reults
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+ | **Variants** | **Size (M)** | **GFLOPS (on HD)** | **SHA (MAE)** | **SHA (RMSE)** | **SHA (NAE, %)** | **SHB (MAE)** | **SHB (RMSE)** | **SHB (NAE, %)** | **QNRF (MAE)** | **QNRF (RMSE)** | **QNRF (NAE, %)** | **NWPU-Val (MAE)** | **NWPU-Val (RMSE)** | **NWPU-Val (NAE, %)** | **NWPU-Test (MAE)** | **NWPU-Test (RMSE)** | **NWPU-Test (NAE, %)** |
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+ | ------------ | ------------ | ------------------ | ------------- | -------------- | ---------------- | ------------- | -------------- | ---------------- | -------------- | --------------- | ----------------- | ------------------ | ------------------- | --------------------- | ------------------- | -------------------- | ---------------------- |
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+ | -P (Pico) | 0.81 | 6.46 | 71.18 | 109.60 | 16.69 | 8.23 | 12.62 | 6.98 | 96.29 | 161.82 | 14.40 | 66.94 | 223.52 | 14.97 | 79.91 | 327.17 | 21.42 |
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+ | -N (Nano) | 3.36 | 24.73 | 58.86 | 94.63 | 14.15 | 7.74 | 12.14 | 6.33 | 86.46 | 147.64 | 12.60 | 56.27 | 292.53 | 14.06 | 75.03 | 334.54 | 17.59 |
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+ | -T (Tiny) | 10.53 | 61.39 | 56.36 | 86.09 | 13.26 | 6.67 | 9.90 | 5.52 | 76.02 | 129.40 | 11.10 | 46.74 | 145.32 | 11.31 | 66.43 | 323.27 | 13.45 |
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+ | -S (Small) | 33.60 | 242.43 | 55.17 | 88.99 | 11.97 | 5.83 | 9.21 | 4.58 | 73.32 | 125.09 | 10.40 | 31.66 | 77.11 | 9.61 | 62.89 | 309.02 | 12.09 |
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+ | -B (Base) | 105.60 | 800.99 | 47.81 | 75.04 | 11.06 | 5.51 | 8.63 | 4.48 | 69.46 | 121.88 | 10.18 | 28.26 | 64.84 | 9.20 | 60.09 | 298.95 | 10.44 |
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  ## Step 1: Install Dependencies
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