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Found 6 papers, 2 papers with code
Improving Interpretable Embeddings for Ad-hoc Video Search with Generative Captions and Multi-word Concept Bank
Experimental results show that the integration of the above-proposed elements doubles the R@1 performance of the AVS method on the MSRVTT dataset and improves the xinfAP on the TRECVid AVS query sets for 2016-2023 (eight years) by a margin from 2% to 77%, with an average about 20%.
Interpretable Embedding for Ad-hoc Video Search
Answering query with semantic concepts has long been the mainstream approach for video search.
Reinforcement Learning Enhanced PicHunter for Interactive Search
With these improvements, the interactive system only searches a subset of video datasets relevant to a query while being able to quickly perform Bayesian updates with systematic planning to recommend the most probable candidates that can potentially lead to minimum iteration rounds.
Graph Learning based Generative Design for Resilience of Interdependent Network Systems
As for enhancing the designs, challenges have arisen for designing a robust system due to the increasing scale of modern systems and the complicated underlying physical constraints.
(Un)likelihood Training for Interpretable Embedding
Cross-modal representation learning has become a new normal for bridging the semantic gap between text and visual data.
Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems
Establishing cleaner energy generation therefore improving the sustainability of the power system is a crucial task in this century, and one of the key strategies being pursued is to shift the dependence on fossil fuel to renewable technologies such as wind, solar, and nuclear.
