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Found 4 papers, 1 papers with code
Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food
Understanding the nutritional content of food from visual data is a challenging computer vision problem, with the potential to have a positive and widespread impact on public health.
Joint Multi-Person Pose Estimation and Semantic Part Segmentation
To refine part segments, the refined pose and the original part potential are integrated through a Part FCN, where the skeleton feature from pose serves as additional regularization cues for part segments.
Ranked #5 on
Human Part Segmentation
on PASCAL-Part
Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net
To tackle these difficulties, we propose a "Hierarchical Auto-Zoom Net" (HAZN) for object part parsing which adapts to the local scales of objects and parts.
Ranked #8 on
Human Part Segmentation
on PASCAL-Part
Pose-Guided Human Parsing with Deep Learned Features
Parsing human body into semantic regions is crucial to human-centric analysis.
