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Found 8 papers, 1 papers with code
A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images
Nevertheless, annotated data is frequently limited in the field of remote sensing image matching.
Conversational Financial Information Retrieval Model (ConFIRM)
With the exponential growth in large language models (LLMs), leveraging their emergent properties for specialized domains like finance merits exploration.
SDTracker: Synthetic Data Based Multi-Object Tracking
We present SDTracker, a method that harnesses the potential of synthetic data for multi-object tracking of real-world scenes in a domain generalization and semi-supervised fashion.
Effect of Strong Time-Varying Transmission Distance on LEO Satellite-Terrestrial Deliveries
In this paper, we investigate the effect of the strong time-varying transmission distance on the performance of the low-earth orbit (LEO) satellite-terrestrial transmission (STT) system.
MLPSVM:A new parallel support vector machine to multi-label learning
The problem conversion method Binary Relevance converts a familiar single label into a multi-label algorithm.
A method on selecting reliable samples based on fuzziness in positive and unlabeled learning
Traditional semi-supervised learning uses only labeled instances to train a classifier and then this classifier is utilized to classify unlabeled instances, while sometimes there are only positive instances which are elements of the target concept are available in the labeled set.
