This study proposes a novel approach, the TLSTMF-YOLO model, which combines a C3-Swin Transformer and multiscale feature fusion techniques to enhance detection accuracy and efficiency. Key innovations ...
A supervised Swin Transformer-based deep learning method using different hyperspectral datasets serves as the proposed algorithm for coastal cover mapping. The data requires pre-processing procedures ...
After hours: February 13 at 6:55:34 PM EST Loading Chart for SWIN ...
To overcome these challenges, we propose a novel semantic-spatial feature enhanced detection model, namely YOLO-SONAR, tailored for marine object detection in forwardlooking sonar imagery.
This repository contains the code for the PAMI 2023 paper TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving. This work is a journal extension of the CVPR 2021 paper ...
The review emphasizes the balance between real-time processing and classification accuracy, mainly through innovations like YOLO and hybrid models. These contributions align closely with the ...
About Us: Param Science Centre is a leading museum dedicated to inspiring wonder and curiosity about the natural world. We are seeking a passionate and creative Science Curator to join our team and ...
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT ...
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