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@@ -174,6 +174,7 @@ <h5>NJU Vision Lab</h5>
 <hr>
 
 <h4 id="tldr">TLDR</h4>
+
 <p>This paper proposes a novel ρ-Vision to directly perform high-level semantic understanding and low-level compression using RAW images. The framework is demonstrated to provide better detection accuracy and compression than RGB-domain counterparts and is shown to be able to generalize across different camera sensors and task-specific models. Additionally, it has the potential to reduce ISP computation and processing time.</p>
 
 <center>
@@ -204,6 +205,8 @@ <h4 id="overview">Overview</h4>
 
 <h4 id="results">Results</h4>
 
+<h5 id="results" style="text-align: center;">RAW-Domain Detection</h5>
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 <center>
     <figure class="col-md-8 col-md-offset-2">
     <img src="assets/img/det_zero_shot_results.jpg" class="img-responsive" style="max-width: 100%;" alt="zero-shot RAW detection results">
@@ -222,6 +225,8 @@ <h4 id="results">Results</h4>
     </figure>
 </center>
 
+<h5 id="results" style="text-align: center;">RAW-Domain Segmentation</h5>
+
 <center>
     <figure class="col-md-8 col-md-offset-2">
     <img src="assets/img/seg_zero_shot_results.jpg" class="img-responsive" style="max-width: 100%;" alt="zero-shot RAW segmentation results">