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Found 6 papers, 0 papers with code
Cross-modal Local Shortest Path and Global Enhancement for Visible-Thermal Person Re-Identification
In this paper, we propose the Cross-modal Local Shortest Path and Global Enhancement (CM-LSP-GE) modules, a two-stream network based on joint learning of local and global features.
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Cross-Modal Person Re-Identification
Cross-Modal Person Re-Identification
Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition
In this paper, we propose a novel knowledge-aware deep framework that incorporates some clinical knowledge into collaborative learning of two important melanoma diagnosis tasks, i. e., skin lesion segmentation and melanoma recognition.
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation
This paper proposes a novel U-Net variant using stacked dilated convolutions for medical image segmentation (SDU-Net).
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging
Modern deep learning algorithms geared towards clinical adaption rely on a significant amount of high fidelity labeled data.
Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation
Accurate segmentation of skin lesion from dermoscopic images is a crucial part of computer-aided diagnosis of melanoma.
Topic Modeling the Hàn diăn Ancient Classics
In this paper we describe a collaborative effort between Indiana University and Xi'an Jiaotong University to support exploration and interpretation of a digital corpus of over 18, 000 ancient Chinese documents, which we refer to as the "Handian" ancient classics corpus (H\`an di\u{a}n g\u{u} j\'i, i. e, the "Han canon" or "Chinese classics").
