"Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences. (arXiv:2301.08571v1 [cs.CL])" — A new image-grounded dataset for improving visual story generation due to the fact that existing image sequence collections do not have coherent plots behind them.

Paper: http://arxiv.org/abs/2301.08571

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Comparison of Visual Writing Pr…

"When Source-Free Domain Adaptation Meets Label Propagation. (arXiv:2301.08413v1 [cs.CV])" — An approach that tries to achieve efficient feature clustering from the perspective of label propagation by dividing the target data into inner and outlier samples based on the adaptive threshold of the learning state, and applying a customized learning strategy to best fits the data property.

Paper: http://arxiv.org/abs/2301.08413

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A toy illustration of target fe…

"Open-Set Likelihood Maximization for Few-Shot Learning. (arXiv:2301.08390v1 [cs.CV])" — A generalization of the maximum likelihood principle, in which latent scores down-weighing the influence of potential outliers are introduced alongside the usual parametric model. This implementation can be applied on top of any pre-trained model seamlessly.

Paper: http://arxiv.org/abs/2301.08390

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Intuition behind OSLO. Standard…