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 ...
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 ...