Search Results for author:
Found 4 papers, 0 papers with code
Quantum Visual Feature Encoding Revisited
Although quantum machine learning has been introduced for a while, its applications in computer vision are still limited.
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering
In addition, we present QClusformer, a variant based on the Transformer architecture, tailored for unsupervised vision clustering tasks.
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy
Thirdly, we built an action recognition model based on Video Transformers and Neural Radiance Fields.
Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
In precision agriculture, the detection and recognition of insects play an essential role in the ability of crops to grow healthy and produce a high-quality yield.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
