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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Panigrahi, Sweta | - |
| dc.date.accessioned | 2023-10-09T06:04:07Z | - |
| dc.date.available | 2023-10-09T06:04:07Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/454 | - |
| dc.language.iso | en | en_US |
| dc.subject | Hand-crafted | en_US |
| dc.subject | Deep Learning | en_US |
| dc.title | Pedestrian Detection based on Hand-crafted and Deep Learning Methods | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Computer Science and Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Thesis_717046.pdf | 6.87 MB | Adobe PDF | View/Open |
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