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High-resolution network with an auxiliary channel for 2D hand pose estimation
High-resolution networks have been applied in various fields because of their advanced architecture. However, multiple multi-scale fusions of high...
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CAE-GReaT: Convolutional-Auxiliary Efficient Graph Reasoning Transformer for Dense Image Predictions
Convolutional Neural Networks (CNNs) and Vision Transformer (ViT) are two primary frameworks for current semantic image recognition tasks in the...
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Towards stronger illumination robustness of local feature detection and description based on auxiliary learning
Local feature detection and description play a crucial role in various computer vision tasks, including image matching. Variations in illumination...
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Enhancing signed social recommendation via extracting auxiliary textual information
Real-world applications are increasingly using personalized suggestions to guide users toward interesting content. Graphic Convolutional Neural...
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Air combat maneuver decision based on deep reinforcement learning with auxiliary reward
For air combat maneuvering decision, the sparse reward during the application of deep reinforcement learning limits the exploration efficiency of the...
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Fragrant: frequency-auxiliary guided relational attention network for low-light action recognition
Video action recognition aims to classify actions within sequences of video frames, which has important applications in computer vision fields....
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PEDI-GAN: power equipment data imputation based on generative adversarial networks with auxiliary encoder
Smart grids commonly rely on analyzing sensor data to monitor power equipment. However, these sensor data can suffer varying levels of loss or...
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Command filter-based I&I adaptive control for MIMO uncertain systems with input saturation and disturbances
This paper develops a control strategy based on immersion and invariance (I&I) adaptive methodology for a class of multi-input multi-output (MIMO)...
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Sample-level weighting for multi-task learning with auxiliary tasks
Multi-task learning (MTL) can improve the generalization performance of neural networks by sharing representations with related tasks. Nonetheless,...
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Auxiliary feature extractor and dual attention-based image captioning
Currently, most image caption generation models use object features output from pre-trained detectors as input for multimodal learning of images and...
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Continual variational dropout: a view of auxiliary local variables in continual learning
Regularization/prior-based approach appears to be one of the critical strategies in continual learning, considering its mechanism for preserving and...
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Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation
Communication can promote coordination in cooperative Multi-Agent Reinforcement Learning (MARL). Nowadays, existing works mainly focus on improving...
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Paf-tracker: a novel pre-frame auxiliary and fusion visual tracker
Siamese-like trackers expose considerable shortcomings in the case of brief occlusion due mainly to the inadequate consideration of the correlation...
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Unraveling the code: an in-depth empirical study on the impact of development practices in auxiliary functions implementation
Auxiliary functions in software systems, often overlooked due to their perceived simplicity, play a crucial role in overall system reliability. This...
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Learning multi-tasks with inconsistent labels by using auxiliary big task
Multi-task learning is to improve the performance of the model by transferring and exploiting common knowledge among tasks. Existing MTL works mainly...
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Self-supervised Meta Auxiliary Learning for Actor and Action Video Segmentation from Natural Language
This paper addresses the problem of actor and action video segmentation from natural language. Given a video and a language query, the goal is to...
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Pupil center detection inspired by multi-task auxiliary learning characteristic
Robust and accurate pupil center detection is a prerequisite for eye-tracking system. In natural environments, due to rapid illumination...
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Dynamic event-triggered robust safety control for multiplayer fully cooperative games with mismatched uncertainties and asymmetric input constraints
This paper investigates a dynamic event-triggered robust safety control method for multiplayer fully cooperative games with mismatched uncertainties...
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Stochastic stabilization of Markovian jump systems closed by a communication network: an auxiliary system approach
This study examines the stabilization of continuous-time Markovian jump systems, whose controller is added in the diffusion section. Unlike the...
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Auxiliary signal-guided knowledge encoder-decoder for medical report generation
Medical reports have significant clinical value to radiologists and specialists, especially during a pandemic like COVID. However, beyond the common...
