1 code implementation • 3 Jun 2022 • Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Therefore it is important to extract better quality features from the available videos.
Anomaly Detection In Surveillance Videos Video Anomaly Detection
no code implementations • 3 Jun 2022 • Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Following this, the healthcare industry has seen a significant increase in fraudulent activities owing to increased insurance, and fraud has become a significant contributor to rising medical care expenses, although its impact can be mitigated using fraud detection techniques.
1 code implementation • 7 Dec 2021 • Narinder Singh Punn, Sonali Agarwal
To accomplish such task, the models are required to be trained using huge amount of annotated or labelled data that highlights the region of interest with a binary mask.
no code implementations • 2 Sep 2021 • Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Adversarial attacks against deep learning models have gained significant attention and recent works have proposed explanations for the existence of adversarial examples and techniques to defend the models against these attacks.
no code implementations • 10 Aug 2021 • Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, M. Syafrullah, Krisna Adiyarta
The classification of the white blood cells plays an important part in the medical diagnosis.
no code implementations • 5 Aug 2021 • Narinder Singh Punn, Sonali Agarwal
The advancements in deep learning technologies have produced immense contributions to biomedical image analysis applications.
no code implementations • 26 Jul 2021 • Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Brain tumor is the most common and deadliest disease that can be found in all age groups.
no code implementations • 15 Jul 2021 • Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
With the advancement in the technology sector spanning over every field, a huge influx of information is inevitable.
no code implementations • 9 Jul 2021 • Narinder Singh Punn, Sonali Agarwal
With the advent of advancements in deep learning approaches, such as deep convolution neural network, residual neural network, adversarial network; U-Net architectures are most widely utilized in biomedical image segmentation to address the automation in identification and detection of the target regions or sub-regions.
no code implementations • 29 Jun 2021 • Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
With increasing popularity of social media platforms hate speech is emerging as a major concern, where it expresses abusive speech that targets specific group characteristics, such as gender, religion or ethnicity to spread violence.
Ranked #1 on Hate Speech Detection on Ethos Binary
no code implementations • 5 Jun 2021 • Harish Rajora, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Worldwide, several cases go undiagnosed due to poor healthcare support in remote areas.
2 code implementations • 4 Jun 2021 • Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
The paper presents three different strategies to analyse BERT based model for sentiment analysis, where in the first strategy the BERT based pre-trained models are fine-tuned; in the second strategy an ensemble model is developed from BERT variants, and in the third strategy a compressed model (Distil BERT) is used.
no code implementations • 13 Dec 2020 • Narinder Singh Punn, Sonali Agarwal
In the present article, an automated deep learning based model, COVID-19 hierarchical segmentation network (CHS-Net) is proposed that functions as a semantic hierarchical segmenter to identify the COVID-19 infected regions from lungs contour via CT medical imaging using two cascaded residual attention inception U-Net (RAIU-Net) models.
no code implementations • 17 Sep 2020 • G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
In this paper, a transfer learning model is proposed to automate the process of identifying the people who are not wearing mask.
no code implementations • 12 Jul 2020 • Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
The objective of the present research is to address the challenge of classification of deceptively similar multi-granular objects with an ensemble approach thfat utilizes activations from multiple layers of CNN (deep features).
no code implementations • 11 Jul 2020 • Uppala Sumanth, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
With the growing phase of artificial intelligence and autonomous learning, the self-driving car is one of the promising area of research and emerging as a center of focus for automobile industries.
2 code implementations • 4 May 2020 • Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, Gaurav Rai
From the experimental analysis, it is observed that the YOLO v3 with Deepsort tracking scheme displayed best results with balanced mAP and FPS score to monitor the social distancing in real-time.
1 code implementation • 23 Apr 2020 • Narinder Singh Punn, Sonali Agarwal
These datasets have limited samples concerned with the positive COVID-19 cases, which raise the challenge for unbiased learning.