In the past few years, Differentiable Neural Architecture Search (DNAS)
...
This paper investigates the usage of kernel functions at the different l...
Solving jigsaw puzzles requires to grasp the visual features of a sequen...
Siamese networks are one of the most trending methods to achieve
self-su...
We propose a novel deep reinforcement learning-based approach for 3D obj...
Differentiable ARchiTecture Search (DARTS) is one of the most trending N...
Fully connected layer is an essential component of Convolutional Neural
...
In this paper we propose a highly scalable convolutional neural network,...
We tackle the image reassembly problem with wide space between the fragm...
Human pose estimation and action recognition are related tasks since bot...
3D human pose estimation is frequently seen as the task of estimating 3D...
Archaeologists are in dire need of automated object reconstruction metho...
Action recognition and human pose estimation are closely related but bot...
In this paper, we propose an end-to-end trainable regression approach fo...