Search Results for author:
Found 5 papers, 2 papers with code
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
However, we find that large-scale bidirectional training between image and text enables zero-shot image captioning.
Projection-based Point Convolution for Efficient Point Cloud Segmentation
Point branch consists of MLPs, while projection branch transforms point features into a 2D feature map and then apply 2D convolutions.
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning
With the development of 3D scanning technologies, 3D vision tasks have become a popular research area.
Ranked #6 on
3D Point Cloud Linear Classification
on ModelNet40
3D Point Cloud Linear Classification
Point cloud reconstruction
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation
In this paper, we propose a simple and efficient architecture named point projection and back-projection network (PBP-Net), which leverages 2D CNNs for the 3D point cloud segmentation.
EDAS: Efficient and Differentiable Architecture Search
Transferrable neural architecture search can be viewed as a binary optimization problem where a single optimal path should be selected among candidate paths in each edge within the repeated cell block of the directed a cyclic graph form.
