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Try this demo for <a href="https://github.com/hasibzunair/msl-recognition">MSL</a>, |
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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>. |
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MSL aims to explicitly focus on context from neighbouring regions around objects. Further, |
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this also enables to learn a distribution of association across classes. Ideally to handle |
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situations in-the-wild where only part of some object class is visible, but where us humans might |
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readily use context to infer the classes presence. |
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You can use this demo to get the a list of objects present in your images. To use it, simply |
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upload an image of your choice and hit submit. You will get one or more names of objects present |
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in your images from this list: |
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("aeroplane", "bicycle", "bird", "boat", "bottle", |
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"bus", "car", "cat", "chair", "cow", "diningtable", |
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"dog", "horse", "motorbike", "person", "pottedplant", |
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"sheep", "sofa", "train", "tvmonitor") |
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<a href="https://hasibzunair.github.io/msl-recognition/">Project Page</a> |
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