What you see is what you get: experience ranking with deep neural dataset-to-dataset similarity for topological localisation
Recalling the most relevant visual memories for localisation or understanding a priori the likely outcome of localisation effort against a particular visual memory is useful for efficient and robust visual navigation. Solutions to this problem should be divorced from performance appraisal against gr...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2024
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