GitHub

State Space Model Meets Transformer: A New Paradigm for 3D Object Detection

DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...
IEEE

AccuLiteFastNet: A Remote Sensing Object Detection Model Combining High Accuracy, Lightweight Design, and Fast Inference Speed

Abstract: This letter proposes AccuLiteFastNet, a novel object detection model tailored for aerial remote sensing scenarios constructed on the YOLOv8. AccuLiteFastNet is designed to enhance the ...
Security Boulevard

Detecting browser extensions for bot detection, lessons from LinkedIn and Castle

Modern bot detection rarely deals with obviously fake browsers. Most large-scale automation today runs inside browser ...
GitHub

Playwright Python Automation Framework

project-root/ │ ├── config/ │ ├── __init__.py │ ├── config.py # Environment configuration │ ├── browser_capabilities.py # Browser ...
IEEE

HFSI-TF: Hierarchical Full-Scale Interactive Transformer Model for Object Detection in Remote Sensing Image

Abstract: Transformer-based object detection models usually adopt an encoding-decoding architecture that mainly combines self-attention (SA) and multilayer perceptron (MLP). Although this architecture ...