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MFAAN: Unveiling Audio Deepfakes with a Multi-Feature Authenticity Network
In the contemporary digital age, the proliferation of deepfakes presents a formidable challenge to the sanctity of information dissemination.
Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification
An innovative two-stage methodology for categorizing blood clot origins is presented in this paper, which is important for the diagnosis and treatment of ischemic stroke.
Benchmarking Conventional Vision Models on Neuromorphic Fall Detection and Action Recognition Dataset
In this proposed approach, we fine-tuned the state-of-the-art vision models for this Dynamic Vision Sensing (DVS) application and named these models as DVS-R2+1D, DVS-CSN, DVS-C2D, DVS-SlowFast, DVS-X3D, and DVS-MViT.
SwiftSRGAN -- Rethinking Super-Resolution for Efficient and Real-time Inference
In recent years, there have been several advancements in the task of image super-resolution using the state of the art Deep Learning-based architectures.
Vision Transformer based COVID-19 Detection using Chest X-rays
COVID-19 is a global pandemic, and detecting them is a momentous task for medical professionals today due to its rapid mutations.
Ranked #1 on
COVID-19 Diagnosis
on COVID-19 CXR Dataset
