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   Articles with "task aware" as a keyword



Task‐aware swapping for efficient DNN inference on DRAM‐constrained edge systems

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22933

Abstract: Object detection at the edge side is a common task in various environments. The deployment of convolutional neural networks in intelligent edge systems is very challenging because of the highly constrained main‐memory space. This study… read more here.

Keywords: systems task; edge systems; task; task aware ... See more keywords

Software-Hardware Co-Design for Energy-Efficient Continuous Health Monitoring via Task-Aware Compression

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recommendations! Published in 2023 at "IEEE Transactions on Biomedical Circuits and Systems"

DOI: 10.1109/tbcas.2023.3238719

Abstract: Low power consumption associated with data transmission and processing of wearable/implantable devices is crucial to ensure the usability of continuous health monitoring systems. In this paper, we propose a novel health monitoring framework where the… read more here.

Keywords: hardware; health monitoring; task; compression ... See more keywords

Adaptive Task-Aware Refining Network for Few-Shot Fine-Grained Image Classification

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2024.3499937

Abstract: The main challenge for Few-Shot Fine-Grained (FSFG) image classification is to learn discriminative feature representations with few labeled samples. In response to this challenge, task-aware few-shot learning methods have been introduced. However, existing approaches focus… read more here.

Keywords: task; shot; fine grained; task aware ... See more keywords
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Rotation-Invariant Task-Aware Spatial Disentanglement in Rotated Ship Detection Based on the Three-Stage Method

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recommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3102126

Abstract: The ``shared head for classification and localization'' (sibling head) has been leading the fashion of the object detection community over the past years. However, the article by Song et al. (2020) found that there is… read more here.

Keywords: aware spatial; task aware; method; rotation ... See more keywords

Mitigating Search Interference With Task-Aware Nested Search

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recommendations! Published in 2024 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2024.3390996

Abstract: Neural Architecture Search (NAS) has emerged as a promising tool in the field of AutoML for designing more accurate and efficient architectures. The majority of NAS works employ a weight-sharing technique to reduce the search… read more here.

Keywords: task; search; space; task aware ... See more keywords

Task-Aware Weakly Supervised Object Localization With Transformer.

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recommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2022.3230902

Abstract: Weakly supervised object localization (WSOL) aims to predict both object locations and categories with only image-level class labels. However, most existing methods rely on class-specific image regions for localization, resulting in incomplete object localization. To… read more here.

Keywords: task aware; localization; weakly supervised; object localization ... See more keywords
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Clustered Task-Aware Meta-Learning by Learning From Learning Paths.

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recommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2023.3250323

Abstract: To enable effective learning of new tasks with only a few examples, meta-learning acquires common knowledge from the existing tasks with a globally shared meta-learner. To further address the problem of task heterogeneity, recent developments… read more here.

Keywords: meta learning; clustered task; task; meta ... See more keywords

SiamTADT: A Task-Aware Drone Tracker for Aerial Autonomous Vehicles

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recommendations! Published in 2025 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2024.3499947

Abstract: State-of-the-art (SOTA) drone trackers struggle with small target bounding box regression and target classification amidst background interference in drone tracking scenarios. These challenges arise from a “task-unaware” conventional tracking methodology that treats bounding box regression… read more here.

Keywords: task; methodology; task aware; drone tracker ... See more keywords