Semantic Part Detection
3 papers with code • 1 benchmarks • 1 datasets
These leaderboards are used to track progress in Semantic Part Detection
Most implemented papers
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).
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.
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.