Search Results for author:
Found 2 papers, 1 papers with code
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection
In this work, we propose Contextualized Multi-Stage Refinement for 3D Object Detection (CMR3D) framework, which takes a 3D scene as input and strives to explicitly integrate useful contextual information of the scene at multiple levels to predict a set of object bounding-boxes along with their corresponding semantic labels.
Self-Supervised Learning for Fine-Grained Visual Categorization
The deconstruction learning forces the model to focus on local object parts, while reconstruction learning helps in learning the correlation between the parts.
Fine-Grained Visual Categorization
Representation Learning
+1
