Titlebook: Domain Adaptation for Visual Understanding; Richa Singh,Mayank Vatsa,Nalini Ratha Book 2020 Springer Nature Switzerland AG 2020 Domain Ada

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Cross-Modality Video Segment Retrieval with Ensemble Learning,ared with video language retrieval, video segment retrieval?is a novel task that uses natural language to retrieve a specific video segment from the whole video. One common method is to learn a similarity metric between video and language features. In this chapter, we utilize ensemble learning?metho

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Multi-modal Conditional Feature Enhancement for Facial Action Unit Recognition,are mapped for the goal of obtaining performance improvements by combining the individual modalities. Often, these heavily fine-tuned feature?representations would have strong feature discriminability in their own spaces which may not be present in the fused subspace owing to the compression of info

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Intuition Learning,. but I have an . that?this research might get accepted”. Intuition?is often employed by humans to solve challenging problems without explicit efforts. Intuition?is not trained but is learned from one’s own experience and observation. The aim of this research is to provide . to an algorithm, apart f

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Alleviating Tracking Model Degradation Using Interpolation-Based Progressive Updating,e one model degradation problem: With low learning rate, the tracking model cannot be updated as fast as the large-scale variation or deformation of fast motion targets; As for high learning rate, the tracking model is not robust enough against disturbance, such as occlusion. To enable the tracking

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Alan Elbaum,Lucia Kinsey,Jeffrey Marianote our method on the task of the video clip retrieval with the new proposed Distinct Describable Moments dataset. Extensive experiments have shown that our approach achieves improvement compared with the result of the state-of-art.