no code implementations • 13 Sep 2022 • Dhanalaxmi Gaddam, Jean Lahoud, Fahad Shahbaz Khan, Rao Muhammad Anwer, Hisham Cholakkal
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.
1 code implementation • 18 May 2021 • Muhammad Maaz, Hanoona Abdul Rasheed, Dhanalaxmi Gaddam
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