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Found 5 papers, 3 papers with code
CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos
Current relation models mainly reason about relations of invisibly implicit cues, while important relations of visually explicit cues are rarely considered, and the collaboration between them is usually ignored.
Detect Depression from Social Networks with Sentiment Knowledge Sharing
Social network plays an important role in propagating people's viewpoints, emotions, thoughts, and fears.
A Novel Approach to Climate Resilience of Infrastructure Networks
A 95-year horizon on the resilience of the railway system is drawn.
Multi-Modal Multi-Action Video Recognition
In this paper, we propose a novel multi-action relation model for videos, by leveraging both relational graph convolutional networks (GCNs) and video multi-modality.
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images
In addition to high segmentation accuracy, we show that our cleansed images achieve a significant boost in recognition accuracy by popular OCR software such as Tesseract 4. 0.
Optical Character Recognition
Optical Character Recognition (OCR)
