My Blogs on Computer Vision
Written by Mohammad Sadil Khan
This is the third part of the VC Dimension and Neural Networks series. This part discusses the important theorems for vc dimension of MLPs.
By Mohammad Sadil Khan in Computational Theory Deep Learning VC Dimension MLP
September 30, 2022
This is the second part of the VC Dimension and Neural Networks series. This part lists important theorems with proofs and explanations. To know the basics of VC dimension, check Part 1 - VC Dimension.
By Mohammad Sadil Khan in Computational Theory Deep Learning VC Dimension MLP
September 29, 2022
This is the first part of the VC Dimension and Neural Networks series. Basic definition and some examples of vc dimension of learning algorithms are explained here.
By Mohammad Sadil Khan in Computational Theory Deep Learning VC Dimension MLP
September 18, 2022
Point Cloud Segmentation is the task for grouping objects or assigning labels to every points in the point cloud. This blog presents different types of methods to perform segmentation.
By Mohammad Sadil Khan in Computer Vision Deep Learning Point Cloud Segmentation Graph Voxel MLP
June 28, 2022
A Point Cloud is a set of points in 3D space which can represent the boundary or the whole object (including inside points)
By Mohammad Sadil Khan in Computer Vision Deep Learning Point Cloud Segmentation Graph Voxel MLP
June 22, 2022
Large-Scale Point Cloud Segmentation Network
By Mohammad Sadil Khan in Deep Learning Point Cloud Segmentation Encoder Decoder
May 12, 2022
Loss Functions for Object Detection
By Mohammad Sadil Khan in Deep Learning Computer Vision
September 27, 2020