Instance-Level Embedding Adaptation for Few-Shot Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2906665
Abstract: Few-shot learning aims to recognize novel categories from just a few labeled instances. Existing metric learning-based approaches perform classifications by nearest neighbor search in the embedding space. The embedding function is a deep neural network… read more here.
Keywords: adaptation; instance level; shot learning; instance ... See more keywords
Multiple Instance Learning With Instance-Level Positive-Unlabeled Learning in Anomaly Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3578651
Abstract: We propose a method for learning a classifier that accurately predicts both instance and bag classes in multiple instance learning (MIL) for anomaly detection, achieving significant performance improvement. MIL, a form of weakly supervised learning,… read more here.
Keywords: bag; instance; level; anomaly detection ... See more keywords
Dynamic Instance-Level Graph Learning Network of Intracranial Electroencephalography Signals for Epileptic Seizure Prediction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2025.3578627
Abstract: Brain-computer interface (BCI) technology is emerging as a valuable tool for diagnosing and treating epilepsy, with deep learning-based feature extraction methods demonstrating remarkable progress in BCI-aided systems. However, accurately identifying causal relationships in temporal dynamics… read more here.
Keywords: seizure prediction; graph learning; level graph; instance level ... See more keywords
Volumetric Instance-Level Semantic Mapping Via Multi-View 2D-to-3D Label Diffusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3146502
Abstract: Robots operating in real-world settings often need to plan interactions with surrounding scene elements and therefore, it is crucial for them to understand their workspace at the level of individual objects. In this spirit, this… read more here.
Keywords: instance level; level; multi view; instance ... See more keywords
i2c-net: Using Instance-Level Neural Networks for Monocular Category-Level 6D Pose Estimation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3240362
Abstract: Object detection and pose estimation are strict requirements for many robotic grasping and manipulation applications to endow robots with the ability to grasp objects with different properties in cluttered scenes and with various lighting conditions.… read more here.
Keywords: instance level; i2c net; pose estimation; level ... See more keywords
Soft Instance-Level Domain Adaptation With Virtual Classifier for Unsupervised Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3266790
Abstract: Adversarial learning-based unsupervised hyperspectral image (HSI) classification methods usually adapt probability distributions by minimizing the statistical distance between similar pixels of different HSIs. Since adversarial learning may weaken the discriminability of features, the extracted features… read more here.
Keywords: instance level; domain; virtual classifier;
SWIN-TOD: Smooth Wasserstein Distance and Instance-Level Neighboring Enhancement for Remote Sensing Tiny Object Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3452010
Abstract: The advancement of deep neural network has propelled the widespread application of remote sensing target detection. However, compared to natural scenes, remote sensing targets possess inherent characteristics such as weak features and small scale, leading… read more here.
Keywords: detection; level neighboring; tod; remote sensing ... See more keywords
RelightGAN: Instance-level Generative Adversarial Network for Face Illumination Transfer
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3061933
Abstract: Face illumination perception and processing is a significantly difficult issue especially due to asymmetric shadings, local highlights, and local shadows. This study focuses on the face illumination transfer problem, which is to transfer the illumination… read more here.
Keywords: face; instance level; transfer; face illumination ... See more keywords
AIParsing: Anchor-Free Instance-Level Human Parsing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3192989
Abstract: Most state-of-the-art instance-level human parsing models adopt two-stage anchor-based detectors and, therefore, cannot avoid the heuristic anchor box design and the lack of analysis on a pixel level. To address these two issues, we have… read more here.
Keywords: instance level; human parsing; anchor free; level ... See more keywords
LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3149926
Abstract: Learning from label proportions (LLP) is a widespread and important learning paradigm: only the bag-level proportional information of the grouped training instances is available for the classification task, instead of the instance-level labels in the… read more here.
Keywords: instance level; llp gan; learning label; label proportions ... See more keywords
Contextual Instance Decoupling for Instance-Level Human Analysis.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3243223
Abstract: One fundamental challenge of instance-level human analysis is to decouple instances in crowded scenes, where multiple persons are overlapped with each other. This paper proposes the Contextual Instance Decoupling (CID), which presents a new pipeline… read more here.
Keywords: instance level; person; segmentation; analysis ... See more keywords