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-# Full-coverage-camouflage-adversarial-attack
-## code and example are public available!
+## FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack
+
+Case study of the FCA. The code can be find in [FCA](https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack.git).
+
+### Cases of digital attack
+
+#### Carmear distance at 3
+
+<table>
+  <tr>
+    <td><center> <img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_3_elevation_0_ori_pred.gif?raw=true'/></center></td>
+    <td><center><img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_3_elevation_0_adv_pred.gif?raw=true'/></center></td>
+  </tr>
+    <tr>
+    <td><center> <img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_3_elevation_30_ori_pred.gif?raw=true'/></center></td>
+    <td><center><img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_3_elevation_30_adv_pred.gif?raw=true'/></center></td>
+  </tr>
+      <tr>
+    <td><center> <img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_3_elevation_50_ori_pred.gif?raw=true'/></center></td>
+    <td><center><img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_3_elevation_50_adv_pred.gif?raw=true'/></center></td>
+  </tr>
+</table>
+
+
+#### Carmear distance at 5  
+<table>
+   <tr>
+    <td><center> <img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_5_elevation_20_ori_pred.gif?raw=true'/></center></td>
+    <td><center><img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_5_elevation_20_adv_pred.gif?raw=true'/></center></td>
+  </tr>
+    <tr>
+    <td><center> <img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_5_elevation_50_ori_pred.gif?raw=true'/></center></td>
+    <td><center><img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_5_elevation_50_adv_pred.gif?raw=true'/></center></td>
+  </tr>
+</table>
+
+
+#### Carmear distance at 10
+<table>
+    <tr>
+    <td><center> <img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_10_elevation_30_ori_pred.gif?raw=true'/></center></td>
+    <td><center><img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_10_elevation_30_adv_pred.gif?raw=true'/></center></td>
+  </tr>
+    <tr>
+    <td><center> <img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_10_elevation_50_ori_pred.gif?raw=true'/></center></td>
+    <td><center><img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/distance_10_elevation_50_adv_pred.gif?raw=true'/></center></td>
+  </tr>
+</table>
+
+### Cases of multi-view robust
+
+
+
+### Ablation study
+
+#### Different combination of loss terms
+
+<img src = 'https://github.com/winterwindwang/Full-coverage-camouflage-adversarial-attack/blob/gh-pages/assets/abaltion_study_loss.png?raw=true'/>
+
+As we can see from the Figure, different loss term plays different role in attacking. For example, the camouflaged car generated by `obj+smooth (we omit the smooth loss, and denotes as obj)` hardly hidden from the detector, while the camouflaged car generated by `iou` successfully suppress the detecting bounding box of the car region, and finally the camouflaged car generated by `cls` successfully make the detector to misclassify the car to anther category.