A survey on deep learning techniques for image and video semantic segmentation
Image semantic segmentation is more and more being of interest for computer vision and
machine learning researchers. Many applications on the rise need accurate and efficient …
machine learning researchers. Many applications on the rise need accurate and efficient …
[HTML][HTML] DILF: Differentiable rendering-based multi-view Image–Language Fusion for zero-shot 3D shape understanding
Zero-shot 3D shape understanding aims to recognize “unseen” 3D categories that are not
present in training data. Recently, Contrastive Language–Image Pre-training (CLIP) has …
present in training data. Recently, Contrastive Language–Image Pre-training (CLIP) has …
Deep learning on 3D point clouds
A point cloud is a set of points defined in a 3D metric space. Point clouds have become one
of the most significant data formats for 3D representation and are gaining increased …
of the most significant data formats for 3D representation and are gaining increased …
Deep learning on point clouds and its application: A survey
W Liu, J Sun, W Li, T Hu, P Wang - Sensors, 2019 - mdpi.com
Point cloud is a widely used 3D data form, which can be produced by depth sensors, such
as Light Detection and Ranging (LIDAR) and RGB-D cameras. Being unordered and …
as Light Detection and Ranging (LIDAR) and RGB-D cameras. Being unordered and …
A review on deep learning techniques for 3D sensed data classification
Over the past decade deep learning has driven progress in 2D image understanding.
Despite these advancements, techniques for automatic 3D sensed data understanding, such …
Despite these advancements, techniques for automatic 3D sensed data understanding, such …
Recent advancements in learning algorithms for point clouds: An updated overview
Recent advancements in self-driving cars, robotics, and remote sensing have widened the
range of applications for 3D Point Cloud (PC) data. This data format poses several new …
range of applications for 3D Point Cloud (PC) data. This data format poses several new …
Gal: Geometric adversarial loss for single-view 3d-object reconstruction
In this paper, we present a framework for reconstructing a point-based 3D model of an object
from a single view image. Distance metrics, like Chamfer distance, were used in previous …
from a single view image. Distance metrics, like Chamfer distance, were used in previous …