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Found 4 papers, 1 papers with code
Visual Object Tracking by Segmentation with Graph Convolutional Network
The proposed model provides a general end-to-end framework which integrates i) label linear prediction, and ii) structure-aware feature information of each superpixel together to obtain object segmentation and further improves the performance of tracking.
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview
Semantic image parsing, which refers to the process of decomposing images into semantic regions and constructing the structure representation of the input, has recently aroused widespread interest in the field of computer vision.
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction
This paper aims at task-oriented action prediction, i. e., predicting a sequence of actions towards accomplishing a specific task under a certain scene, which is a new problem in computer vision research.
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