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Found 12 papers, 2 papers with code
Research on the Laws of Multimodal Perception and Cognition from a Cross-cultural Perspective -- Taking Overseas Chinese Gardens as an Example
This study aims to explore the complex relationship between perceptual and cognitive interactions in multimodal data analysis, with a specific emphasis on spatial experience design in overseas Chinese gardens.
Exploring the Impacts of Land Use/Cover Change on Ecosystem Services in Multiple Scenarios --The Case of Sichuan-Chongqing Region, China
This study focuses on the "ecology-food" imbalance problem. taking Sichuan-Chongqing Region as an example, to set up future scenarios topredicate the distribution of ESs.
A Framework of Full-Process Generation Design for Park Green Spaces Based on Remote Sensing Segmentation-GAN-Diffusion
There are two research gaps in the current research: 1) Most studies only focus on the relationship between design elements and pay little attention to the external information of the site; 2) GAN and other traditional generative algorithms generate results with low resolution and insufficient details.
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition
This paper introduces an approach to enhance seismic fault recognition through self-supervised pretraining.
Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing
In each case, we show at least three-fold gains in revenue or profit by our bandit method, as well as the interpretability of the latent factor models that are learned.
Two-stream Hierarchical Similarity Reasoning for Image-text Matching
Second, previous approaches only consider learning single-stream similarity alignment (i. e., image-to-text level or text-to-image level), which is inadequate to fully use similarity information for image-text matching.
Balanced Graph Structure Learning for Multivariate Time Series Forecasting
However, current models do not incorporate the trade-off between efficiency and flexibility and lack the guidance of domain knowledge in the design of graph structure learning algorithms.
PCL: Proxy-Based Contrastive Learning for Domain Generalization
Domain generalization refers to the problem of training a model from a collection of different source domains that can directly generalize to the unseen target domains.
Ranked #17 on
Domain Generalization
on PACS
HELMHOLTZ: A Verifier for Tezos Smart Contracts Based on Refinement Types
Due to the large amount of money that smart contracts deal with, there is a surging demand for a method that can statically and formally verify them.
Dive Deeper Into Box for Object Detection
Anchor free methods have defined the new frontier in state-of-the-art object detection researches where accurate bounding box estimation is the key to the success of these methods.
VLSI Mask Optimization: From Shallow To Deep Learning
VLSI mask optimization is one of the most critical stages in manufacturability aware design, which is costly due to the complicated mask optimization and lithography simulation.
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks
To address this issue, various approximation techniques have been investigated, which seek for a light weighted network with little performance degradation in exchange of smaller model size or faster inference.
