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Found 6 papers, 2 papers with code
Refining Packing and Shuffling Strategies for Enhanced Performance in Generative Language Models
Packing and shuffling tokens is a common practice in training auto-regressive language models (LMs) to prevent overfitting and improve efficiency.
Frequency Guidance Matters: Skeletal Action Recognition by Frequency-Aware Mixed Transformer
Subsequently, we develop a mixed transformer architecture to incorporate spatial features with frequency features to model the comprehensive frequency-spatial patterns.
FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method
Illegal, unreported, and unregulated (IUU) fishing activities seriously affect various aspects of human life.
Flood Data Analysis on SpaceNet 8 Using Apache Sedona
This platform aims to enhance the efficiency of error analysis, a critical aspect of improving flood damage detection accuracy.
SDPL: Shifting-Dense Partition Learning for UAV-View Geo-Localization
We propose a dense partition strategy (DPS), dividing the image into multiple parts to explore contextual information while explicitly maintaining the global structure.
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems
Simultaneously, the INN is designed to partition the parameter vector linked to the input physical field into two distinct components: the expansion coefficients representing the forward problem solution and the Gaussian latent noise.
