Titlebook: Computer Vision and Image Processing; 6th International Co Balasubramanian Raman,Subrahmanyam Murala,Puneet G Conference proceedings 2022 T

闹剧

An Hour-Glass CNN for Language Identification of Indic Texts in Digital Images,uated upon standard Indic dataset like AUTNT giving an accuracy of 90.93% which is higher than most state-of-the-art models. The proposed model is also used to benchmark the performance on ITDI dataset with a reasonable accuracy of 85.18%. Sample instances of the proposed ITDI dataset can be found at: .

COW

judiciousness

,Blind Video Quality Assessment Using Fusion of Novel Structural Features and Deep Features,ic distortions datasets, LIVE-VQC, KoNViD-1k, and LIVE Qualcomm. Results show excellent performance of the proposed model compared with other state-of-the-art methods with significantly reduced computational burden.

chandel

,Handwritten Text Retrieval from Unlabeled Collections, this is due to the lack of retrieval tools for such unlabeled document collections. This work considers such collections and presents a simple, robust retrieval framework for easy information access. We achieve retrieval on unlabeled novel collections through invariant features learned for handwrit

史前

Facet-Joints

An Hour-Glass CNN for Language Identification of Indic Texts in Digital Images,lingual ambience which necessitates the pursuit of an efficient model that is robust against various complexities and successfully identifies the language of Indic texts. This paper presents a deep learning based Convolutional Neural Network (CNN) model having an hour-glass like structure, for class

CLAN

,Single Frame-Based Video Dehazing with Adversarial Learning, of captured video quality is mainly because of the attenuation caused by the scattering of light due to the haze particles present in the environment. In this paper, we propose an adversarial learning based single frame video dehazing encoder-decoder network. The proposed method comprises of Dilate

灯泡

,Spatio-Temporal Event Segmentation for Wildlife Extended Videos,ed labels or self-supervised epoch-based training. Most works consider videos that are at most 10’s of minutes long. We present a self-supervised perceptual prediction framework capable of temporal event segmentation by building stable representations of objects over time and demonstrate it on long

意外的成功

,Comparative Analysis of Machine Learning and Deep Learning Models for Ship Classification from Satethis paper, a handful of traditional machine learning and deep learning models are compared based on their performance to classify the satellite images available in the public repository as a ship or other categories. The Support Vector Machine(SVM), Decision Trees, Random Forest, K-Nearest Neighbor

构成

,Channel Difference Based Regeneration Architecture for Fake Colorized Image Detection,y for image editing applications. This work aims to detect the fake colorized images with a novel observation of channel difference maps. Here, we propose a novel deep channel difference network for fake colorized image detection/classification. Initially, an effective channel difference map (CDM) b