BING: binarized normed gradients for objectness estimation at 300 fps
Training a generic objectness measure to produce object proposals has recently become of significant interest. We observe that generic objects with well-defined closed boundaries can be detected by looking at the norm of gradients, with a suitable resizing of their corresponding image windows to a s...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Springer
2019
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