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Found 5 papers, 5 papers with code
Predicting Tweet Engagement with Graph Neural Networks
Social Networks represent one of the most important online sources to share content across a world-scale audience.
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
Secondly, we propose a new method of feature drift compensation that accommodates feature drift in the backbone when learning new tasks.
Explaining Image Enhancement Black-Box Methods through a Path Planning Based Algorithm
In this paper we present a path planning algorithm which provides a step-by-step explanation of the output produced by state of the art enhancement methods, overcoming black-box limitation.
Offset equivariant networks and their applications
In this paper we present a framework for the design and implementation of offset equivariant networks, that is, neural networks that preserve in their output uniform increments in the input.
TreEnhance: A Tree Search Method For Low-Light Image Enhancement
Given as input a low-light image, TreEnhance produces as output its enhanced version together with the sequence of image editing operations used to obtain it.
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Image Enhancement
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