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Found 19 papers, 10 papers with code
GO4Align: Group Optimization for Multi-Task Alignment
This paper proposes \textit{GO4Align}, a multi-task optimization approach that tackles task imbalance by explicitly aligning the optimization across tasks.
Find the Cliffhanger: Multi-Modal Trailerness in Soap Operas
Creating a trailer requires carefully picking out and piecing together brief enticing moments out of a longer video, making it a chal- lenging and time-consuming task.
Blind Dates: Examining the Expression of Temporality in Historical Photographs
This paper explores the capacity of computer vision models to discern temporal information in visual content, focusing specifically on historical photographs.
Prototype-based Dataset Comparison
However, when applied to a single dataset the discovery of visual concepts is restricted to those most prominent.
Cross-modal Scalable Hierarchical Clustering in Hyperbolic space
Our findings demonstrate the strength of Hyperbolic Hierarchical Clustering and its potential for Self-Supervised Learning.
Hierarchical Explanations for Video Action Recognition
To interpret deep neural networks, one main approach is to dissect the visual input and find the prototypical parts responsible for the classification.
Protoype-based Dataset Comparison
However, when applied to a single dataset the discovery of visual concepts is restricted to those most prominent.
An Analytics of Culture: Modeling Subjectivity, Scalability, Contextuality, and Temporality
We believe that possible implementations of these aspects into AI research leads to AI that better captures the complexities of culture.
Hyperbolic Image Segmentation
For image segmentation, the current standard is to perform pixel-level optimization and inference in Euclidean output embedding spaces through linear hyperplanes.
The Met Dataset: Instance-level Recognition for Artworks
Testing is primarily performed on photos taken by museum guests depicting exhibits, which introduces a distribution shift between training and testing.
Extending CLIP for Category-to-image Retrieval in E-commerce
One aspect of this data is a category tree that is being used in search and recommendation.
Inside Out Visual Place Recognition
Additionally, we introduce a new training protocol Inside Out Data Augmentation to adapt Visual Place Recognition methods for localizing indoor images, demonstrating the potential of Inside Out Visual Place Recognition.
Translating Visual Art into Music
The Synesthetic Variational Autoencoder (SynVAE) introduced in this research is able to learn a consistent mapping between visual and auditive sensory modalities in the absence of paired datasets.
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation
Adversarial training has been recently employed for realizing structured semantic segmentation, in which the aim is to preserve higher-level scene structural consistencies in dense predictions.
Learning Task Relatedness in Multi-Task Learning for Images in Context
When task relations are explicitly defined based on domain knowledge multi-task learning (MTL) offers such concurrent solutions, while exploiting relatedness between multiple tasks performed over the same dataset.
Many Task Learning with Task Routing
Typical multi-task learning (MTL) methods rely on architectural adjustments and a large trainable parameter set to jointly optimize over several tasks.
Light-weight pixel context encoders for image inpainting
In this work we propose Pixel Content Encoders (PCE), a light-weight image inpainting model, capable of generating novel con-tent for large missing regions in images.
Learning scale-variant and scale-invariant features for deep image classification
This leads to the conclusion that encouraging the combined development of a scale-invariant and scale-variant representation in CNNs is beneficial to image recognition performance.
Exploring the influence of scale on artist attribution
Previous work has shown that the artist of an artwork can be identified by use of computational methods that analyse digital images.
