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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Title</title>
</head>
<body> 
    Try this demo for <a href="https://github.com/hasibzunair/msl-recognition">MSL</a>, 
    introduced in our <strong>WACV 2024</strong> paper <a href="https://arxiv.org/abs/2310.18517">Learning to Recognize Occluded and Small Objects with Partial Inputs</a>.
    </br>
    MSL aims to explicitly focus on context from neighbouring regions around objects. Further, 
    this also enables to learn a distribution of association across classes. Ideally to handle 
    situations in-the-wild where only part of some object class is visible, but where us humans might 
    readily use context to infer the classes presence.
    </br>
    You can use this demo to get the a list of objects present in your images. To use it, simply 
    upload an image of your choice and hit submit. You will get one or more names of objects present 
    in your images from this list: 
    ("aeroplane", "bicycle", "bird", "boat", "bottle",
        "bus", "car", "cat", "chair", "cow", "diningtable",
        "dog", "horse", "motorbike", "person", "pottedplant",
        "sheep", "sofa", "train", "tvmonitor")
    </br>
    <a href="https://hasibzunair.github.io/msl-recognition/">Project Page</a>
    </br>
</body>
</html>