Deep learning-driven one-shot dual-view 3D reconstruction for dual-projector system
Fringe projection profilometry (FPP) is an extensively used active 3-D measurement
technique. However, it faces challenges in achieving synchronous improvement of …
technique. However, it faces challenges in achieving synchronous improvement of …
Exploring the strengths of neural codes for video retrieval
Abstract Websites like YouTube, Facebook, Twitter, etc. encounter large amounts of videos
every day, mostly uploaded from mobile devices, digital cameras, etc. These videos rarely …
every day, mostly uploaded from mobile devices, digital cameras, etc. These videos rarely …
Learning unsupervised visual representations using 3d convolutional autoencoder with temporal contrastive modeling for video retrieval
The rapid growth of tag-free user-generated videos (on the Internet), surgical recorded
videos, and surveillance videos has necessitated the need for effective content-based video …
videos, and surveillance videos has necessitated the need for effective content-based video …
A Review on Deep Learning based diagnosis of COVID-19 from X-ray and CT Images
V Kumar - 2022 International Mobile and Embedded …, 2022 - ieeexplore.ieee.org
More than 400 million cases of the new coronavirus (COVID-19) have been confirmed since
December 2019 in more than 200 countries. Since the spread of original COVID-19 virus …
December 2019 in more than 200 countries. Since the spread of original COVID-19 virus …
Unsupervised learning of visual representations via rotation and future frame prediction for video retrieval
Due to rapid technological advancements, the growth of videos uploaded to the internet has
increased exponentially. Most of these videos are free of semantic tags, which makes …
increased exponentially. Most of these videos are free of semantic tags, which makes …
[PDF][PDF] Toward Fine-grained Image Retrieval with Adaptive Deep Learning for Cultural Heritage Image.
S Prasomphan - Computer Systems Science & Engineering, 2023 - cdn.techscience.cn
Fine-grained image classification is a challenging research topic because of the high
degree of similarity among categories and the high degree of dissimilarity for a specific …
degree of similarity among categories and the high degree of dissimilarity for a specific …
Content based surgical video retrieval via multi-deep features fusion
Medicine has seen a rapid increase in the number of minimally invasive surgeries that
benefit patients in various ways due to economic and clinical factors. In most hospitals such …
benefit patients in various ways due to economic and clinical factors. In most hospitals such …
Enhancing unsupervised video representation learning by temporal contrastive modelling using 2d CNN
Using video sequence order as a supervised signal has proven to be effective in initializing
2d convnets for downstream tasks like video retrieval and action recognition. Earlier works …
2d convnets for downstream tasks like video retrieval and action recognition. Earlier works …
Efficient color image retrieval method using deep stacked sparse autoencoder
M Kale, S Mukhopadhyay - Journal of Electronic Imaging, 2022 - spiedigitallibrary.org
The recent advancement in deep learning-based approaches vastly outperforms the
traditional image descriptors. Deep learning models, such as residual networks (ResNet) …
traditional image descriptors. Deep learning models, such as residual networks (ResNet) …
[PDF][PDF] A Novel Technique for Image Retrieval based on Concatenated Features Extracted from Big Dataset Pre-Trained CNNs
CM Bhuma, R Kongara - … Journal of Image, Graphics and Signal …, 2023 - academia.edu
Accessing semantically relevant data from a database is not only essential in commercial
applications but also in medical imaging diagnosis. Representation of the query image by its …
applications but also in medical imaging diagnosis. Representation of the query image by its …