LAUSR

Toward Anthropomorphic Grasping in Food Industries: A Dual-Arm Mobile Robot With Human-Like Reaching Function for Adaptive Grasping

Sign Up to like & get
recommendations!
0 Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3614869

Abstract: Performing unstructured grasping tasks in cluttered or obstacle-rich food processing environments is a key challenge in robotic systems. This work presents a task-adaptive grasping approach for a dual-arm anthropomorphic robot, named Herdsman, developed for the… read more here.

Keywords: detection; food; human like; adaptive grasping ... See more keywords

Task-Adaptive Attention for Image Captioning

Sign Up to like & get
recommendations!
2 Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2021.3067449

Abstract: Attention mechanisms are now widely used in image captioning models. However, most attention models only focus on visual features. When generating syntax related words, little visual information is needed. In this case, these attention models… read more here.

Keywords: attention; image captioning; task adaptive; adaptive attention ... See more keywords

Meta-Learning With Task-Adaptive Selection

Sign Up to like & get
recommendations!
0 Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2025.3557706

Abstract: The gradient-based meta-learning algorithm gains meta-learning parameters from a pool of tasks. Starting from the obtained meta-learning parameters, it can achieve better results through fast fine-tuning with only a few gradient descent updates. The two-layer… read more here.

Keywords: meta; learning parameters; selection; meta learning ... See more keywords

HyperTaFOR: Task-Adaptive Few-Shot Open-Set Recognition With Spatial-Spectral Selective Transformer for Hyperspectral Imagery

Sign Up to like & get
recommendations!
0 Published in 2025 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2025.3555069

Abstract: Open-set recognition (OSR) aims to accurately classify known categories while effectively rejecting unknown negative samples. Existing methods for OSR in hyperspectral images (HSI) can be generally divided into two categories: reconstruction-based and distance-based methods. Reconstruction-based… read more here.

Keywords: open set; set recognition; spectral selective; spatial spectral ... See more keywords

Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning.

Sign Up to like & get
recommendations!
2 Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2023.3261387

Abstract: The objective of few-shot learning is to design a system that can adapt to a given task with only few examples while achieving generalization. Model-agnostic meta-learning (MAML), which has recently gained the popularity for its… read more here.

Keywords: adaptation; task adaptive; fast adaptation; task ... See more keywords