Spaces:
Sleeping
Sleeping
File size: 1,312 Bytes
0b71efd 9bd2c0b 144fabb e441600 39529e8 144fabb 68baa35 39529e8 68baa35 39529e8 68baa35 39529e8 0b71efd |
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 |
<!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> |