Semantic Part Detection
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Benchmarks
Most implemented
Attention-based Joint Detection of Object and Semantic Part
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions
Papers
Split, Merge, and Refine: Fitting Tight Bounding Boxes via Over-Segmentation and Iterative Search
Achieving tight bounding boxes of a shape while guaranteeing complete boundness is an essential task for efficient geometric operations and unsupervised semantic part detection. But previous methods fail to achieve both …
SegmentationSemantic Part DetectionSensitivityAttention-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. Our model is created on top of two Faster-RCNN models that share their features to perform a novel …
Objectobject-detectionObject Detectionregression+1Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions
Fine-grained 3D shape classification is important for shape understanding and analysis, which poses a challenging research problem. However, the studies on the fine-grained 3D shape classification have rarely been explor…
3D Shape ClassificationGeneral ClassificationRegion ProposalSemantic Part DetectionPose-Guided Knowledge Transfer for Object Part Segmentation
Object part segmentation is an important problem for many applications, but generating the annotations to train a part segmentation model is typically quite labor-intensive. Recently, Fang et al. augmented object part se…
ObjectSegmentationSemantic Part DetectionTransfer LearningSemantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data
Detecting semantic parts of an object is a challenging task in computer vision, particularly because it is hard to construct large annotated datasets due to the difficulty of annotating semantic parts. In this paper we p…
ClusteringObjectSemantic Part DetectionVisual Concepts and Compositional Voting
It is very attractive to formulate vision in terms of pattern theory \cite{Mumford2010pattern}, where patterns are defined hierarchically by compositions of elementary building blocks. But applying pattern theory to real…
ClusteringSemantic Part Detection