Zobrazeno 1 - 10
of 635
pro vyhledávání: '"Li, Qingli"'
Due to the computational complexity of self-attention (SA), prevalent techniques for image deblurring often resort to either adopting localized SA or employing coarse-grained global SA methods, both of which exhibit drawbacks such as compromising glo
Externí odkaz:
http://arxiv.org/abs/2407.16993
This paper focuses on the dataset-free Blind Image Super-Resolution (BISR). Unlike existing dataset-free BISR methods that focus on obtaining a degradation kernel for the entire image, we are the first to explicitly design a spatially-variant degrada
Externí odkaz:
http://arxiv.org/abs/2407.08252
Prediction of genetic biomarkers, e.g., microsatellite instability and BRAF in colorectal cancer is crucial for clinical decision making. In this paper, we propose a whole slide image (WSI) based genetic biomarker prediction method via prompting tech
Externí odkaz:
http://arxiv.org/abs/2407.09540
Despite the recent progress in enhancing the efficacy of image deblurring, the limited decoding capability constrains the upper limit of State-Of-The-Art (SOTA) methods. This paper proposes a pioneering work, Adaptive Patch Exiting Reversible Decoder
Externí odkaz:
http://arxiv.org/abs/2406.09135
DEtection TRansformer (DETR) becomes a dominant paradigm, mainly due to its common architecture with high accuracy and no post-processing. However, DETR suffers from unstable training dynamics. It consumes more data and epochs to converge compared wi
Externí odkaz:
http://arxiv.org/abs/2406.05791
Medical imaging is limited by acquisition time and scanning equipment. CT and MR volumes, reconstructed with thicker slices, are anisotropic with high in-plane resolution and low through-plane resolution. We reveal an intriguing phenomenon that due t
Externí odkaz:
http://arxiv.org/abs/2405.02857
In recent years, vehicle re-identification (Re-ID) has gained increasing importance in various applications such as assisted driving systems, traffic flow management, and vehicle tracking, due to the growth of intelligent transportation systems. Howe
Externí odkaz:
http://arxiv.org/abs/2310.16694
Histology analysis of the tumor micro-environment integrated with genomic assays is the gold standard for most cancers in modern medicine. This paper proposes a Gene-induced Multimodal Pre-training (GiMP) framework, which jointly incorporates genomic
Externí odkaz:
http://arxiv.org/abs/2309.02702
End-to-end region-based object detectors like Sparse R-CNN usually have multiple cascade bounding box decoding stages, which refine the current predictions according to their previous results. Model parameters within each stage are independent, evolv
Externí odkaz:
http://arxiv.org/abs/2307.13619
Autor:
Liu, Yiman, Huang, Qiming, Han, Xiaoxiang, Liang, Tongtong, Zhang, Zhifang, Chen, Lijun, Wang, Jinfeng, Stefanidis, Angelos, Su, Jionglong, Chen, Jiangang, Li, Qingli, Zhang, Yuqi
Purpose: Congenital heart defect (CHD) is the most common birth defect. Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics and cardiac function, and is an effective method for atrial septal def
Externí odkaz:
http://arxiv.org/abs/2306.03835