Task‐aware swapping for efficient DNN inference on DRAM‐constrained edge systems
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Rotation-Invariant Task-Aware Spatial Disentanglement in Rotated Ship Detection Based on the Three-Stage Method
Sign Up to like & getrecommendations! 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
Task-Aware Weakly Supervised Object Localization With Transformer.
Sign Up to like & getrecommendations! 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
Clustered Task-Aware Meta-Learning by Learning From Learning Paths.
Sign Up to like & getrecommendations! 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