2025-08-22 14:31 🚀
Browse files
README.md
CHANGED
|
@@ -51,8 +51,8 @@ model-index:
|
|
| 51 |
- task:
|
| 52 |
type: crowd_counting
|
| 53 |
dataset:
|
| 54 |
-
name: NWPU-Crowd
|
| 55 |
-
type:
|
| 56 |
metrics:
|
| 57 |
- name: MAE
|
| 58 |
type: MAE
|
|
@@ -63,6 +63,21 @@ model-index:
|
|
| 63 |
- name: NAE
|
| 64 |
type: NAE
|
| 65 |
value: 0.0920
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 66 |
---
|
| 67 |
# ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling
|
| 68 |
<!--
|
|
@@ -71,17 +86,19 @@ model-index:
|
|
| 71 |
[](https://paperswithcode.com/sota/crowd-counting-on-ucf-qnrf?p=ebc-zip-improving-blockwise-crowd-counting)
|
| 72 |
[](https://paperswithcode.com/sota/crowd-counting-on-nwpu-crowd-val?p=ebc-zip-improving-blockwise-crowd-counting) -->
|
| 73 |
|
|
|
|
|
|
|
| 74 |
The official implementation of the paper [*ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling*](https://arxiv.org/pdf/2506.19955).
|
| 75 |
|
| 76 |
## Reults
|
| 77 |
|
| 78 |
-
| **Variants** | **Size (M)** | **GFLOPS (on HD)** | **SHA (MAE)** | **SHA (RMSE)** | **SHA (NAE, %)** | **SHB (MAE)** | **SHB (RMSE)** | **SHB (NAE, %)** | **QNRF (MAE)** | **QNRF (RMSE)** | **QNRF (NAE, %)** |
|
| 79 |
-
|
| 80 |
-
| -P (Pico) | 0.81 | 6.46 | 71.18 | 109.60 | 16.69 | 8.23 | 12.62 | 6.98 | 96.29 | 161.82 | 14.40 |
|
| 81 |
-
| -N (Nano) | 3.36 | 24.73 | 58.86 | 94.63 | 14.15 | 7.74 | 12.14 | 6.33 | 86.46 | 147.64
|
| 82 |
-
| -T (Tiny) | 10.53 | 61.39 | 56.36 | 86.09 | 13.26 | 6.67 | 9.90 | 5.52 | 76.02 | 129.40 | 11.10 |
|
| 83 |
-
| -S (Small) | 33.60 | 242.43 | 55.17 | 88.99 | 11.97 | 5.83 | 9.21 | 4.58 | 73.32 | 125.09 | 10.40 |
|
| 84 |
-
| -B (Base) | 105.60 | 800.99 | 47.81 | 75.04 | 11.06 | 5.51 | 8.63 | 4.48 | 69.46 | 121.88 | 10.18 |
|
| 85 |
|
| 86 |
## Step 1: Install Dependencies
|
| 87 |
|
|
|
|
| 51 |
- task:
|
| 52 |
type: crowd_counting
|
| 53 |
dataset:
|
| 54 |
+
name: NWPU-Crowd-Val
|
| 55 |
+
type: nwpu_crowd_val
|
| 56 |
metrics:
|
| 57 |
- name: MAE
|
| 58 |
type: MAE
|
|
|
|
| 63 |
- name: NAE
|
| 64 |
type: NAE
|
| 65 |
value: 0.0920
|
| 66 |
+
- task:
|
| 67 |
+
type: crowd_counting
|
| 68 |
+
dataset:
|
| 69 |
+
name: NWPU-Crowd-Test
|
| 70 |
+
type: nwpu_crowd_test
|
| 71 |
+
metrics:
|
| 72 |
+
- name: MAE
|
| 73 |
+
type: MAE
|
| 74 |
+
value: 60.09
|
| 75 |
+
- name: RMSE
|
| 76 |
+
type: RMSE
|
| 77 |
+
value: 298.95
|
| 78 |
+
- name: NAE
|
| 79 |
+
type: NAE
|
| 80 |
+
value: 0.1044
|
| 81 |
---
|
| 82 |
# ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling
|
| 83 |
<!--
|
|
|
|
| 86 |
[](https://paperswithcode.com/sota/crowd-counting-on-ucf-qnrf?p=ebc-zip-improving-blockwise-crowd-counting)
|
| 87 |
[](https://paperswithcode.com/sota/crowd-counting-on-nwpu-crowd-val?p=ebc-zip-improving-blockwise-crowd-counting) -->
|
| 88 |
|
| 89 |
+
<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>
|
| 90 |
+
|
| 91 |
The official implementation of the paper [*ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling*](https://arxiv.org/pdf/2506.19955).
|
| 92 |
|
| 93 |
## Reults
|
| 94 |
|
| 95 |
+
| **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, %)** |
|
| 96 |
+
| ------------ | ------------ | ------------------ | ------------- | -------------- | ---------------- | ------------- | -------------- | ---------------- | -------------- | --------------- | ----------------- | ------------------ | ------------------- | --------------------- | ------------------- | -------------------- | ---------------------- |
|
| 97 |
+
| -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 |
|
| 98 |
+
| -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 |
|
| 99 |
+
| -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 |
|
| 100 |
+
| -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 |
|
| 101 |
+
| -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 |
|
| 102 |
|
| 103 |
## Step 1: Install Dependencies
|
| 104 |
|