no code implementations • 18 Apr 2023 • Sheng He, Rina Bao, Jingpeng Li, Jeffrey Stout, Atle Bjornerud, P. Ellen Grant, Yangming Ou
Associations of SAM's accuracy with six factors were computed, independently and jointly, including segmentation difficulties as measured by segmentation ability score and by Dice overlap in U-Net, image dimension, size of the target region, image modality, and contrast.
no code implementations • 3 Apr 2023 • Sheng He, Rina Bao, P. Ellen Grant, Yangming Ou
The global-context information among local patches is learnt by the self-attention mechanism in Transformer and U-Net segments each local patch instead of flattening into tokens to solve the `token-flatten" problem.
1 code implementation • 19 Dec 2022 • Sheng He, Yanfang Feng, P. Ellen Grant, Yangming Ou
In addition, our method can provide a mean SA score which can give a performance estimation of the output on the test images without ground-truth.
1 code implementation • 6 Jun 2022 • Shenhong Li, Sheng He, San Jiang, Wanshou Jiang, Lin Zhang
The WHU-Stereo dataset can serve as a challenging benchmark for stereo matching of high-resolution satellite images, and performance evaluation of deep learning models.
no code implementations • 13 Apr 2022 • Sheng He, Yanfang Feng, P. Ellen Grant, Yangming Ou
In this paper, we propose deep relation learning for regression, aiming to learn different relations between a pair of input images.
1 code implementation • 3 Sep 2021 • Sheng He, P. Ellen Grant, Yangming Ou
The fine-grained information from the local patches are fused with the global-context information by the attention mechanism, inspired by the transformer, to estimate the brain age.
1 code implementation • 11 Apr 2021 • Sheng He, Lambert Schomaker
The spatial relationship between the sequence of fragments is modeled by the recurrent neural network (RNN) to strengthen the discriminative ability of the local fragment features.
1 code implementation • 16 Mar 2020 • Sheng He, Lambert Schomaker
Writer identification based on a small amount of text is a challenging problem.
no code implementations • 20 Feb 2020 • Sheng He, Randy L. Gollub, Shawn N. Murphy, Juan David Perez, Sanjay Prabhu, Rudolph Pienaar, Richard L. Robertson, P. Ellen Grant, Yangming Ou
Brain age prediction based on children's brain MRI is an important biomarker for brain health and brain development analysis.
no code implementations • 5 Feb 2019 • Jin Liu, Sheng He
On this basis, a special layer, Collinear Equation Layer, is added next to region layer to output the 2D projections of the 3D bounding boxs corners.
no code implementations • 27 Jan 2019 • Jin Liu, Sheng He
Our system trains a novel convolutional neural network to regress the unit quaternion, which represents the 3D rotation, from the partial image inside the bounding box returned by 2D detection systems.
no code implementations • 18 Jan 2019 • Sheng He, Lambert Schomaker
This paper presents a novel iterative deep learning framework and apply it for document enhancement and binarization.
no code implementations • 28 Sep 2018 • Sheng He, Lambert Schomaker
Our proposed method transfers the benefits of the learned features of a convolutional neural network from an auxiliary task such as explicit content recognition to the main task of writer identification in a single procedure.
no code implementations • 27 Aug 2018 • Sheng He, Lambert Schomaker
Recognition of Off-line Chinese characters is still a challenging problem, especially in historical documents, not only in the number of classes extremely large in comparison to contemporary image retrieval methods, but also new unseen classes can be expected under open learning conditions (even for CNN).