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Found 8 papers, 1 papers with code
ElasticLaneNet: An Efficient Geometry-Flexible Approach for Lane Detection
The task of lane detection involves identifying the boundaries of driving areas in real-time.
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception
Urban segmentation and lane detection are two important tasks for traffic scene perception.
Energy stable neural network for gradient flow equations
In this paper, we propose an energy stable network (EStable-Net) for solving gradient flow equations.
Large Transformers are Better EEG Learners
The proposed approach allows for seamless integration of pre-trained vision models and language models in time series decoding tasks, particularly in EEG data analysis.
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks
Pruning is a model compression method that removes redundant parameters in deep neural networks (DNNs) while maintaining accuracy.
Continuum Model and Numerical Method for Dislocation Structure and Energy of Grain Boundaries
We present a continuum model to determine the dislocation structure and energy of low angle grain boundaries in three dimensions.
Materials Science
Continuum model for dislocation structures of semicoherent interfaces
In our continuum model, the dislocation structure of a semicoherent interface is obtained by minimizing the energy of the equilibrium dislocation network with respect to all the possible Burgers vectors, subject to the constraint of the Frank-Bilby equation.
Materials Science
An Elastic Interaction-Based Loss Function for Medical Image Segmentation
The commonly used loss functions in the deep segmentation task are pixel-wise loss functions.
