Search Results for author:
Found 8 papers, 4 papers with code
State-of-the-Art in Nudity Classification: A Comparative Analysis
This paper presents a comparative analysis of existing nudity classification techniques for classifying images based on the presence of nudity, with a focus on their application in content moderation.
Deep Architectures for Content Moderation and Movie Content Rating
Rating a video based on its content is an important step for classifying video age categories.
Sequence Models for Drone vs Bird Classification
Moreover, we propose a new drone vs. bird sequence classification dataset to train and evaluate the proposed architectures.
Classification of Intra-Pulse Modulation of Radar Signals by Feature Fusion Based Convolutional Neural Networks
Detection and classification of radars based on pulses they transmit is an important application in electronic warfare systems.
Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection
In this work, an open-source framework called Slicing Aided Hyper Inference (SAHI) is proposed that provides a generic slicing aided inference and fine-tuning pipeline for small object detection.
Track Boosting and Synthetic Data Aided Drone Detection
Our method approaches the drone detection problem by fine-tuning a YOLOv5 model with real and synthetically generated data using a Kalman-based object tracker to boost detection confidence.
Ranked #1 on
Object Detection
on Drone vs Bird
(using extra training data)
Automated question generation and question answering from Turkish texts
In this work, we fine-tune a multilingual T5 (mT5) transformer in a multi-task setting for QA, QG and answer extraction tasks using Turkish QA datasets.
Instagram Fake and Automated Account Detection
To deal with the unevenness problem in the fake dataset, Smote-nc algorithm is implemented.
