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Found 3 papers, 1 papers with code
Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling
While recent large-scale video-language pre-training made great progress in video question answering, the design of spatial modeling of video-language models is less fine-grained than that of image-language models; existing practices of temporal modeling also suffer from weak and noisy alignment between modalities.
TrUMAn: Trope Understanding in Movies and Animations
By coping with the trope understanding task and enabling the deep cognition skills of machines, data mining applications and algorithms could be taken to the next level.
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
In recent years, few-shot learning problems have received a lot of attention.
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