Category-Level Adversaries for Semantic Domain Adaptation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2921030
Abstract: Recent advances in deep learning, especially deep convolutional neural networks, have led to great performance improvement over semantic segmentation systems. Unfortunately, training deep neural networks (DNNs) requires a humongous amount of labeled data, which is… read more here.
Keywords: domain adaptation; category level; category;
SKP: Semantic 3D Keypoint Detection for Category-Level Robotic Manipulation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3157438
Abstract: As human-assisting robots are starting to play an important role in the food service and hospitality field, service vision for robot manipulation on intra-category objects, which have variations in shape, size, and appearance, is an… read more here.
Keywords: semantic keypoint; category level; keypoint detection; level ... See more keywords
Category-Level 6D Pose Estimation Using Geometry-Guided Instance-Aware Prior and Multi-Stage Reconstruction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3252367
Abstract: Category-level object 6D pose estimation is essential for robotic manipulation, augmented reality and 3D scene understanding. It aims to accurately predict the translation and rotation of arbitrary shape instances from a given set of object… read more here.
Keywords: pose estimation; geometry; reconstruction; geometry guided ... See more keywords
Deep Category-Level and Regularized Hashing With Global Semantic Similarity Learning.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.2964993
Abstract: The hashing technique has been extensively used in large-scale image retrieval applications due to its low storage and fast computing speed. Most existing deep hashing approaches cannot fully consider the global semantic similarity and category-level… read more here.
Keywords: similarity; semantic similarity; category level; global semantic ... See more keywords