Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

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Multi-scale Context Aggregation for?Video-Based Person Re-Identificationfferent from previous methods that first extracted spatial features and later aggregated temporal features, we propose a Multi-scale Context Aggregation (MSCA) method in this paper to simultaneously learn spatial-temporal features from videos. Specifically, we design an Attention-aided Feature Pyram

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Text Spotting of?Electrical Diagram Based on?Improved PP-OCRv3often have high resolution, and the format of the text in them is also unique and densely distributed. These factors make the general-purpose text spotting models unable to detect and recognize the text effectively. In this paper, we propose a text spotting model based on improved PP-OCRv3 to achiev

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Research on?Relation Extraction Based on?BERT with?Multifaceted Semanticsa sentence belong. In nowadays, researchers tend to use large-scale corpus to retrain language models for relation extraction, which requires too much relevant resources, besides, when analyzing the corpus, we found that in sentences where entities exist, different entities have different correlatio

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NMPose: Leveraging Normal Maps for?6D Pose Estimationssed it by establishing 2D-3D correspondences and then applying a variant of the PnP algorithm. However, it is extraordinarily difficult to establish accurate 2D-3D correspondences for 6D pose estimation. In this work, we consider 6D pose estimation as a follow-up task to normal estimation so that p

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BFTracker: A One-Shot Baseline Model with?Fusion Similarity Algorithm Towards Real-Time Multi-object, which joins multiple tasks into a single network, achieves trade-offs between tracking speed and accuracy. Different from previous trackers’ practice of exchanging more extra calculation cost for tracking accuracy, a new one-shot baseline that is simple and efficient is proposed by us. We continue

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