From 652822b61359f33d5d0cfbdb88a920a2a5a0c240 Mon Sep 17 00:00:00 2001
From: NiharikaVadlamudi <niharika.vadlamudi@research.iiit.ac.in>
Date: Sat, 31 Aug 2024 21:10:39 +0530
Subject: [PATCH] More sections , editing icons

---
 index.html | 25 +++++++++++++++++++++++--
 1 file changed, 23 insertions(+), 2 deletions(-)

diff --git a/index.html b/index.html
index 58d8bb4..d657124 100644
--- a/index.html
+++ b/index.html
@@ -121,9 +121,9 @@ <h1 class="title is-1 publication-title">LineTR</h1>
                 <a href="https://drive.google.com/file/d/1UU_4irR3m8IuuzuOXYl35eK6UbD2d3tH/view?usp=sharing"
                    class="external-link button is-normal is-rounded is-dark">
                   <span class="icon">
-                      <i class="ai ai-arxiv"></i>
+                      <i class="fas fa-file-pdf"></i>
                   </span>
-                  <span>arXiv</span>
+                  <span>Supplementary</span>
                 </a>
               </span>
               <!-- Video Link. -->
@@ -208,6 +208,26 @@ <h2 class="title is-3">Video</h2>
 </section>
 
 
+<section class="section">
+  <div class="container is-max-desktop">
+    <!-- Network Architecture . -->
+    <div class="columns is-centered has-text-centered">
+      <div class="column is-four-fifths">
+        <h2 class="title is-3">Introduction</h2>
+        <div class="content has-text-justified">
+          <p>
+            Historical manuscripts pose significant challenges for line segmentation due to their diverse sizes, scripts, and appearances.
+            Traditional methods often rely on dataset-specific processing or training per-dataset models, limiting scalability and maintainability.
+            In the first stage, LineTR processes context-adaptive image patches using a DETR-style network to generate parametric representations of text lines and a hybrid CNN-transformer network to create a text energy map. 
+            A robust post-processing procedure converts these into document-level scribbles. 
+            In the second stage, these scribbles and the text energy map are used to generate precise polygons enclosing the text lines.
+            Experimental results demonstrate that LineTR achieves superior line segmentation with a single model and performs well in zero-shot inference on the new datasets.
+          </p>
+        </div>
+      </div>
+    </div>
+</section>
+
 <section class="section">
   <div class="container is-max-desktop">
     <!-- Network Architecture . -->
@@ -228,6 +248,7 @@ <h2 class="title is-3">Network Architecture</h2>
     </div>
 </section>
 
+
 <section class="section" id="BibTeX">
   <div class="container is-max-desktop content">
     <h2 class="title">BibTeX</h2>