1adrianb / 1adrianb/binary-human-pose-estimation
details about binarization
- Lenguaje dominante
- Lua
- Estrellas
- 214
- Forks
- 67
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Descripción
As far as I am understanding the paper and the implementation, the input image is not binarized, the weight is binarized by bnn binary operation, while the outputs are still real number, am I correct?
Guía de contribución
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Línea de trabajo
The issue asks for clarification on binarization in the model. Start by reading the paper linked in the repository description and the model implementation in the codebase. Look for binarization operations in the network layers. Determine if the question is about input preprocessing, weight binarization, or activation outputs. The answer should be documented in the README or code comments.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- computer-vision, lua
- Área
- ai-infra-agents, computer-vision
- Tipo de issue
- Documentación
- Dificultad
- 2/5
- Tiempo estimado
- 1-3 horas
- Estado de actividad
- Estancado
- Claridad
- Necesita aclaración
- Aptitud para principiantes
- 35/100