H Tang, C Yuan, Z Li, J Tang - Pattern Recognition, 2022 - Elsevier
Few-shot fine-grained recognition (FS-FGR) aims to distinguish several highly similar objects from different sub-categories with limited supervision. However, traditional few-shot …
Z Zha, H Tang, Y Sun, J Tang - IEEE Transactions on Circuits …, 2023 - ieeexplore.ieee.org
Few-shot fine-grained recognition (FS-FGR) aims to recognize novel fine-grained categories with the help of limited available samples. Undoubtedly, this task inherits the main …
Traumatic brain injury (TBI) can produce temporary biochemical imbalance due to leaks through cell membranes or disruption of the axoplasmic flow due to the misalignment of …
H Sun, X He, Y Peng - Proceedings of the 30th ACM International …, 2022 - dl.acm.org
Fine-grained visual categorization (FGVC) aims at recognizing objects from similar subordinate categories, which is challenging and practical for human's accurate automatic …
In this paper we propose a novel abstraction-aware sketch-based image retrieval framework capable of handling sketch abstraction at varied levels. Prior works had mainly focused on …
Q Xu, J Wang, B Jiang, B Luo - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, vision transformers (ViTs) have been investigated in fine-grained visual recognition (FGVC) and are now considered state of the art. However, most ViT-based works …
Over the past few years, a significant progress has been made in deep convolutional neural networks (CNNs)-based image recognition. This is mainly due to the strong ability of such …
Y Pu, Y Han, Y Wang, J Feng, C Deng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Fine-grained image recognition is a longstanding computer vision challenge that focuses on differentiating objects belonging to multiple subordinate categories within the same meta …
Simulating high-resolution detector responses is a storage-costly and computationally intensive process that has long been challenging in particle physics. Despite the ability of …