Structured output regression for detection with partial truncation
We develop a structured output model for object category detection that explicitly accounts for alignment, multiple aspects and partial truncation in both training and inference. The model is formulated as large margin learning with latent variables and slack rescaling, and both training and inferen...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2009
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