Researchers from Sun Yat-sen University (SYSU) and the Institute of High Energy Physics (IHEP) have developed a novel top ...

Abstract: Source-free domain adaptive object detection (SFOD) enables detectors trained on a ... for small objects and outperforms previous SFOD approaches by effectively using domain-invariant ...

The diffusion-based approach led to much higher accuracy in detecting objects, even though it used fewer images. Specifically, it improved the detection performance by 11% while using 67% fewer ...

A curated list of papers and resources related to Described Object Detection, Open-Vocabulary/Open-World Object Detection and Referring Expression Comprehension ...

This project is a spam email classifier deployed using FastAPI and Docker. It uses a pre-trained machine learning model to classify emails as spam or not based on their content. The application is ...

Payment Fraud Detection and Prevention ... individuals into sharing their financial and other sensitive information using hardware and software hijacking technology. Payment fraud happens when ...

We present a new fully complementary metal-oxide semiconductor (CMOS) circuit-based system for object detection and recognition using a Spiking Neural Network (SNN). Our holistic CMOS circuit ...