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Found 6 papers, 4 papers with code
CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving
Lane keeping in autonomous driving systems requires scenario-specific weight tuning for different objectives.
Restoring Images in Adverse Weather Conditions via Histogram Transformer
It is powered by a mechanism dubbed histogram self-attention, which sorts and segments spatial features into intensity-based bins.
Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
In this paper, we propose a new CNN based image CS coding framework using local structural sampling (dubbed CSCNet) that includes three functional modules: local structural sampling, measurement coding and Laplacian pyramid reconstruction.
Selective Frequency Network for Image Restoration
Image restoration aims to reconstruct the latent sharp image from its corrupted counterpart.
Ranked #3 on
Image Dehazing
on SOTS Outdoor
Deep neural network based sparse measurement matrix for image compressed sensing
In this paper, a Deep neural network based Sparse Measurement Matrix (DSMM) is learned by the proposed convolutional network to reduce the sampling computational complexity and improve the CS reconstruction performance.
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios
To address this problem, we propose a deep convolutional Laplacian Pyramid Compressed Sensing Network (LapCSNet) for CS, which consists of a sampling sub-network and a reconstruction sub-network.
