Semantic Part Detection
3 papers with code • 1 benchmarks • 1 datasets
Latest papers
Attention-based Joint Detection of Object and Semantic Part
In this paper, we address the problem of joint detection of objects like dog and its semantic parts like face, leg, etc.
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions
According to our experiments under this fine-grained dataset, we find that state-of-the-art methods are significantly limited by the small variance among subcategories in the same category.
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data
In particular, this enables images in the training dataset to be matched to a virtual 3D model of the object (for simplicity, we assume that the object viewpoint can be estimated by standard techniques).