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Found 6 papers, 2 papers with code
CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)
To overcome these challenges, we have developed a framework based on a hierarchical visual Transformer with a sliding window technique to search for strong lensing systems within entire images.
Better Zero-Shot Reasoning with Role-Play Prompting
This highlights its potential to augment the reasoning capabilities of LLMs.
NeuralMatrix: Compute the Entire Neural Networks with Linear Matrix Operations for Efficient Inference
The inherent diversity of computation types within individual Deep Neural Network (DNN) models imposes a corresponding need for a varied set of computation units within hardware processors.
PromptRank: Unsupervised Keyphrase Extraction Using Prompt
This demonstrates the great potential of using prompt for unsupervised keyphrase extraction.
Ranked #1 on
Keyphrase Extraction
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Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers
We embed prior information of strongly lensed arcs at cluster-scale into the training data through simulation and then train the detection algorithm with simulated images.
Data--driven Image Restoration with Option--driven Learning for Big and Small Astronomical Image Datasets
In recent years, developments of deep neural networks and increments of the number of astronomical images have evoked a lot of data--driven image restoration methods.
