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Found 5 papers, 4 papers with code
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images
In this study, we explore and benchmark two popular semi-supervised methods from the perspective image domain for fish-eye image segmentation.
Ranked #1 on
Semi-Supervised Semantic Segmentation
on WoodScape
Semantic Segmentation Using Transfer Learning on Fisheye Images
This can be attributed to the fact that the models are not designed to handle fisheye images, and the available fisheye datasets are not sufficiently large to effectively train complex models.
DualMLP: a two-stream fusion model for 3D point cloud classification
The SparseNet, a relatively larger network, samples a small number of points from the complete point cloud, while the DenseNet, a lightweight network, takes in a larger number of points as input.
Ranked #36 on
3D Point Cloud Classification
on ScanObjectNN
CrossMoCo: Multi-modal Momentum Contrastive Learning for Point Cloud
In this study, we introduce a novel selfsupervised method called CrossMoCo, which learns the representations of unlabelled point cloud data in a multi-modal setup that also utilizes the 2D rendered images of the point clouds.
3D Object Classification
3D Point Cloud Linear Classification
+4
Improved Training for 3D Point Cloud Classification
PointNet is a pioneering approach in this direction that feeds the 3D point cloud data directly to a model.
