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Found 6 papers, 4 papers with code
Linearized Kernel Dictionary Learning
In this paper we present a new approach of incorporating kernels into dictionary learning.
Deep-Energy: Unsupervised Training of Deep Neural Networks
The success of deep learning has been due, in no small part, to the availability of large annotated datasets.
Ranked #22 on
Image Dehazing
on SOTS Outdoor
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss
Instead of feeding the network with synthetic data, we solely use real-world outdoor images and tune the network's parameters by directly minimizing the DCP.
Ranked #21 on
Image Dehazing
on SOTS Outdoor
Ada-LISTA: Learned Solvers Adaptive to Varying Models
Neural networks that are based on unfolding of an iterative solver, such as LISTA (learned iterative soft threshold algorithm), are widely used due to their accelerated performance.
CLIPTER: Looking at the Bigger Picture in Scene Text Recognition
Reading text in real-world scenarios often requires understanding the context surrounding it, especially when dealing with poor-quality text.
GRAM: Global Reasoning for Multi-Page VQA
The increasing use of transformer-based large language models brings forward the challenge of processing long sequences.
