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   Articles with "instance aware" as a keyword



Instance-Aware Spatial-Frequency Feature Fusion Detector for Oriented Object Detection in Remote-Sensing Images

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recommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3265025

Abstract: In recent years, fusing multitype features poses great potential for oriented object detection (OOD) in remote-sensing images (RSIs). Due to the inexplicit operation of modeling orientation variations, convolutional neural networks (CNNs) are difficult to perceive… read more here.

Keywords: remote sensing; feature fusion; frequency; instance aware ... See more keywords

Real-Time Instance-Aware Segmentation and Semantic Mapping on Edge Devices

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recommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3224512

Abstract: Perceiving the environment semantically in real-time is challenging for unmanned aerial vehicles (UAVs) with limited computational resources. In this article, a real-time instance-aware segmentation and semantic mapping method on small edge devices is proposed. Taking… read more here.

Keywords: time; time instance; instance aware; segmentation ... See more keywords

Particle-Based Instance-Aware Semantic Occupancy Mapping in Dynamic Environments

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recommendations! Published in 2024 at "IEEE Transactions on Robotics"

DOI: 10.1109/tro.2025.3526084

Abstract: Representing the 3-D environment with instance-aware semantic and geometric information is crucial for interaction-aware robots in dynamic environments. Nevertheless, creating such a representation poses challenges due to sensor noise, instance segmentation and tracking errors, and… read more here.

Keywords: instance aware; instance; occupancy; particle based ... See more keywords

InstaHMR: Instance-Aware One-Stage Multi-Person Human Mesh Recovery

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recommendations! Published in 2024 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2024.3391764

Abstract: Human mesh recovery aims to estimate all human meshes within a given image. In this article, we propose an Instance-aware Multi-person 3D Human Mesh Recovery (InstaHMR) network based on the one-stage framework. Compared to former… read more here.

Keywords: mesh recovery; instance aware; instance; person ... See more keywords