-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathgeneric.html
More file actions
149 lines (115 loc) · 7.55 KB
/
generic.html
File metadata and controls
149 lines (115 loc) · 7.55 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
<!DOCTYPE HTML>
<!--
Industrious by TEMPLATED
templated.co @templatedco
Released for free under the Creative Commons Attribution 3.0 license (templated.co/license)
-->
<html>
<head>
<title>Ashok Ajad | Machine Learning Engineer</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<meta name="description" content="" />
<meta name="keywords" content="" />
<link rel="stylesheet" href="assets/css/main.css" />
</head>
<body class="is-preload">
<!-- Header -->
<header id="header">
<div class="inner">
<div class="content">
<section>
<h4></h4>
<ul class="plain">
<li><a href="https://www.linkedin.com/in/ashok-ajad/" target="_blank"><i class="icon fa-linkedin"> </i>LinkedIn</a>
<a href="https://github.com/code-cse" target="_blank"><i class="icon fa-github"> </i>Github</a>
</li>
</ul>
</section>
</div>
</div>
<a class="logo" href="index.html">Home</a>
<a class="logo" href="index.html">Blogs</a>
<a class="logo" href="elements.html">Projects</a>
<a class="logo" href="resume.html">Resume</a>
<nav>
<a href="#menu">Menu</a>
</nav>
</header>
<!-- Nav -->
<nav id="menu">
<ul class="links">
<li><a href="index.html">Home</a></li>
<li><a href="elements.html">Projects</a></li>
<li><a href="generic.html">Research</a></li>
<li><a href="generic.html">Blogs</a></li>
<li><a href="resume.html">Resume</a></li>
</ul>
</nav>
<!-- Heading -->
<div id="heading" >
<h1>Research and Comparative Study</h1>
</div>
<section id="main" class="wrapper">
<div class="inner">
<div class="content">
<!-- <header>
<h2>Comparative study of Object Detection</h2>
</header> -->
<h3><b style="font-size: 25px">Comparative study of Object Detection</b></h3>
<p>This is comprehensive journey on object detection. I have followed the original research paper published on these particular topics.<br><b style="font-size: 18px;">Region based object detectors </b><br> In region based object detection I have studied about different models / algorithms from research paper on these topics. Here is the some research papers that I have followed and the links and description are given below.<br>
<b>1. R-CNN: Regions with CNN features | <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1311.2524.pdf"; target="_blank">Rich feature hierarchies for accurate object detection and semantic segmentation</a></b><br>
<b>2. Fast R-CNN: Fast Regions with CNN features | <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1504.08083.pdf"; target="_blank">Fast R-CNN</a></b><br>
<b>3. Faster R-CNN: Faster Regions with CNN features | <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1506.01497.pdf"; target="_blank">Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks</a></b><br>
<b>4. R-FCN: Region-based Fully Convolutional Networks | <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1605.06409.pdf"; target="_blank">R-FCN: Object Detection via Region-based Fully Convolutional Networks</a></b><br>
</p>
<hr />
<p><b style="font-size: 18px;">Single shot object detectors </b><br> In single shot based object detection I have studied about different models / algorithms from research paper on these topics. Here is the some research papers that I have followed and the links and description are given below.<br>
<b>1. SSD: Single Shot MultiBox Detector | <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1512.02325.pdf"; target="_blank">SSD: Single Shot MultiBox Detector</a></b><br>
<b>2. YOLO: You Only Look Once | <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1506.02640.pdf"; target="_blank">You Only Look Once: Unified, Real-Time Object Detection</a></b><br>
<b>3. YOLO-v2: YOLO9000: Better, Faster, Stronger | <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1612.08242.pdf"; target="_blank">YOLO9000: Better, Faster, Stronger</a></b><br>
<b>4. YOLO-v3: YOLOv3: An Incremental Improvement | <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1804.02767.pdf"; target="_blank">YOLOv3: An Incremental Improvement</a></b><br>
</p>
<hr />
<p><b style="font-size: 18px;">Other object detection models </b><br>
<b>1. FPN: Feature Pyramid Networks for Object Detection | <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1612.03144.pdf"; target="_blank">Feature Pyramid Networks for Object Detection</a></b><br>
<b>2. FPN with Faster R-CNN: An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches | <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1804.09003.pdf"; target="_blank">An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches</a></b><br>
<b>3. Focal loss (RetinaNet): Focal Loss for Dense Object Detection| <a style="color: #0000FF">Source:</a> <a href="https://arxiv.org/pdf/1708.02002.pdf"; target="_blank">Focal Loss for Dense Object Detection</a></b><br>
</p>
<hr />
<!--
<h3>Magna odio tempus commodo</h3>
<p>In arcu accumsan arcu adipiscing accumsan orci ac. Felis id enim aliquet. Accumsan ac integer lobortis commodo ornare aliquet accumsan erat tempus amet porttitor. Ante commodo blandit adipiscing integer semper orci eget. Faucibus commodo adipiscing mi eu nullam accumsan morbi arcu ornare odio mi adipiscing nascetur lacus ac interdum morbi accumsan vis mi accumsan ac praesent.</p>
<p>Felis sagittis eget tempus primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent tincidunt felis sagittis eget. tempus euismod. Magna sed etiam ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus lorem ipsum dolor sit amet nullam.</p> -->
</div>
</div>
</section>
<!-- *********************************************************************************************************************************** -->
<!-- Footer -->
<footer id="footer">
<div class="inner">
<div class="content">
<section>
<h4></h4>
<ul class="plain">
<li><a href="https://www.linkedin.com/in/ashok-ajad/" target="_blank"><i class="icon fa-linkedin"> </i>LinkedIn</a>
<a href="https://github.com/code-cse" target="_blank"><i class="icon fa-github"> </i>Github</a>
<a href="#"><i class="icon fa-facebook"> </i>Facebook</a>
<a href="#"><i class="icon fa-instagram"> </i>Instagram</a>
</li>
</ul>
</section>
</div>
<div class="copyright">
© ashok ajad <a href="index.html">Machine Learning Engineer | AI-Researcher </a>
</div>
</div>
</footer>
<!-- Scripts -->
<script src="assets/js/jquery.min.js"></script>
<script src="assets/js/browser.min.js"></script>
<script src="assets/js/breakpoints.min.js"></script>
<script src="assets/js/util.js"></script>
<script src="assets/js/main.js"></script>
</body>
</html>