no code implementations • 13 Jan 2024 • Ankit Yadav, Dinesh Kumar Vishwakarma
Secondly, a novel Spatio-Compression Lightweight Splice Detection Framework is proposed for accurate splice detection with minimum computational cost.
no code implementations • 13 Jan 2024 • Ankit Yadav, Dinesh Kumar Vishwakarma
Top results achieved on benchmark datasets, comparison of deep learning approaches against traditional methods and critical insights from the recent tampering detection methods are also discussed.
no code implementations • 13 Jan 2024 • Ankit Yadav, Dinesh Kumar Vishwakarma
In this work, a novel, "Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler" has been proposed.
no code implementations • 8 Jan 2024 • Ankit Yadav, Mayank Singh
Driven by the surge in code generation using large language models (LLMs), numerous benchmarks have emerged to evaluate these LLMs capabilities.
no code implementations • 3 Apr 2023 • Ankit Yadav, Shubham Chandel, Sushant Chatufale, Anil Bandhakavi
In this work, we describe how we created the dataset, created annotations at high level and low level for different domains and how we use it to test the current state-of-the-art multilingual and multitask learning approaches.
no code implementations • 24 Dec 2020 • Ankit Yadav, Dinesh Kumar Vishwakarma
This review deals with the latest state-of-the-art deep learning based approaches for person re-identification.