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Found 15 papers, 1 papers with code
Demystifying Visual Features of Movie Posters for Multi-Label Genre Identification
In the film industry, movie posters have been an essential part of advertising and marketing for many decades, and continue to play a vital role even today in the form of digital posters through online, social media and OTT platforms.
Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
Interestingly, the effect of visual context varies with source text noise: no visual context works best for non-noisy translations, cropped image features are optimal for low noise, and full image features work better in high-noise scenarios.
Metal Oxide-based Gas Sensor Array for the VOCs Analysis in Complex Mixtures using Machine Learning
The metal oxide sensor array was subjected to various VOC concentrations, including ethanol, acetone, toluene and chloroform.
TPMCF: Temporal QoS Prediction using Multi-Source Collaborative Features
Even though some recent recurrent neural-network-based architectures can model temporal relationships among QoS data, prediction accuracy degrades due to the absence of other features (e. g., collaborative features) to comprehend the relationship among the user-service interactions.
Detecting Severity of Diabetic Retinopathy from Fundus Images using Ensembled Transformers
Diabetic Retinopathy (DR) is considered one of the primary concerns due to its effect on vision loss among most people with diabetes globally.
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
This paper aims to help researchers in this field by comprehensively surveying recent achievements in unsupervised anomaly localization in industrial images using deep learning.
Deep Analysis of Visual Product Reviews
In the past, the researchers worked on analyzing language feedback, but here we do not take any assistance from linguistic reviews that may be absent, since a recent trend can be observed where customers prefer to quickly upload the visual feedback instead of typing language feedback.
FES: A Fast Efficient Scalable QoS Prediction Framework
One of the primary objectives of designing a QoS prediction algorithm is to achieve satisfactory prediction accuracy.
CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering
On the one hand, the hybrid filtering method aims to obtain a set of similar users and services, given a target user and a service.
Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis
In this paper, we work on intra-variable handwriting, where the writing samples of an individual can vary significantly.
An Empirical Study on Writer Identification & Verification from Intra-variable Individual Handwriting
In this paper, we study some handcrafted features and auto-derived features extracted from intra-variable writing.
Text Line Identification in Tagore's Manuscript
In this paper, a text line identification method is proposed.
Gabor Filter and Rough Clustering Based Edge Detection
This paper introduces an efficient edge detection method based on Gabor filter and rough clustering.
Rough Clustering Based Unsupervised Image Change Detection
This paper introduces an unsupervised technique to detect the changed region of multitemporal images on a same reference plane with the help of rough clustering.
Unsupervised Text Extraction from G-Maps
This paper represents an text extraction method from Google maps, GIS maps/images.
