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graph convolutional networks

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HomeTech
HomeTech
Jul 7, 2023 · Artificial Intelligence

Multi-Modal Video Understanding and AIGC Video Generation at Autohome

This article presents a comprehensive multi-modal video understanding system for AIGC video generation, detailing technical architecture, GCN-based semi-supervised learning, and practical applications across automotive content scenarios.

AIGCBERTNeXtVLAD
0 likes · 8 min read
Multi-Modal Video Understanding and AIGC Video Generation at Autohome
Laiye Technology Team
Laiye Technology Team
Sep 9, 2022 · Artificial Intelligence

Graph Convolutional Networks for Intelligent Document Processing: Principles, Feature Engineering, and Applications

This article presents a comprehensive overview of using graph convolutional networks in intelligent document processing, covering basic GCN theory, adjacency matrix construction, feature engineering—including text, image, and handcrafted features—model architecture, self-supervised training, and real-world applications such as semantic entity recognition and relation extraction.

Feature EngineeringIntelligent Document ProcessingRelation Extraction
0 likes · 14 min read
Graph Convolutional Networks for Intelligent Document Processing: Principles, Feature Engineering, and Applications
58 Tech
58 Tech
Jun 9, 2022 · Artificial Intelligence

Multi‑Label Image Recognition for 58.com: Algorithm Design, Data Construction, and Model Optimization

This article presents a comprehensive study of multi‑label image recognition applied to 58.com’s business scenarios, covering problem motivation, dataset construction, evaluation metrics, mainstream deep‑learning methods, an asymmetric‑loss‑based optimization pipeline, and practical output schemes for recommendation and retrieval.

asymmetric losscomputer visiondata annotation
0 likes · 17 min read
Multi‑Label Image Recognition for 58.com: Algorithm Design, Data Construction, and Model Optimization
iQIYI Technical Product Team
iQIYI Technical Product Team
Jul 10, 2020 · Artificial Intelligence

Video Highlight Analysis Technology Framework

iQIYI’s video highlight analysis framework combines a large supervised dataset, deep label distribution learning, multi‑task training with a canonical‑correlated autoencoder, and a weakly supervised ranking model enhanced by confidence weighting and graph convolution, then fuses these signals to improve highlight detection accuracy.

Weak Supervisiondeep learninggraph convolutional networks
0 likes · 17 min read
Video Highlight Analysis Technology Framework
HomeTech
HomeTech
Mar 4, 2020 · Artificial Intelligence

Video Multi-Label Classification Using Graph Convolutional Networks

This paper introduces a method for video multi-label classification that incorporates label correlation features using graph convolutional networks, significantly improving classification performance.

GCNInceptionV3NeXtVLAD
0 likes · 7 min read
Video Multi-Label Classification Using Graph Convolutional Networks