Cross-modality feature propagationDepth information has proven to be a useful cue in the semantic segmentation of RGB-D images for providing a geometric counterpart to the RGB representation. Most existing works simply assume that depth measurements are accurate and well-aligned with the RGB pixels ...
Cross-modality feature propagationWe propose an RGB-D indoor segmentation algorithm with adaptive attention for depth map noise correction.We propose channel ... B Xiong,Y Peng,JK Zhu,... - 《Displays》 被引量: 0发表: 2024年 OMS-SLAM: dynamic scene visual SLAM based on object detection with...
Bi-Directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification. RGB-Infrared person re-identification (RGB-IR Re-ID) is a cross-modality matching problem, where the modality discrepancy is...
To handle this problem, we propose a novel multi-modal visual prompt tracking model based on a universal bi-directional adapter, cross-prompting multiple modalities mutually. Our model consists of a universal bi-directional adapter and multiple modality-specific transformer encoder branches with sharing...
Methods F1-Score Sensitivity Specificity Accuracy AUC COSFIRE filters [3] - 0.7655 0.97048 0.9442 0.9614 Cross-Modality [15] - 0.7569 0.9816 0.9527 0.9738 U-net [21] 0.8142 0.7537 0.9820 0.9531 0.9755 Deep Model [16] - 0.7763 0.9768 0.9495 0.9720 RU-net [2] 0.8...
BMC Bioinformatics (2023) 24:323 https://doi.org/10.1186/s12859-023-05447-1 BMC Bioinformatics RESEARCH Open Access MCL‑DTI: using drug multimodal information and bi‑directional cross‑attention learning method for predicting drug–target interaction Ying Qian1, Xinyi Li1, Jian ...
Investigations into the microstructure of the sample cross-section are carried out by the employing HAADF high-resolution TEM (HRTEM) modality, which directly reflects changes in the crystal structure. Figure 3(c) presents representative HAADF HRTEM images of the growth interface (for example, the...
Malfunction of a bi-directional resonant motor drive in an electro-optical reader is detected without new hardware by monitoring the frequency of a start-of-scan signal, and by determining whether the monitored frequency lies within a predetermined frequ
where they proposed a hierarchal aggregation for the features based on GCN, where GCN used to extract relation between objects, and then integra- tion between the object features and global feature from the other modality to narrow the modality gap and facilitate the fusion of cross-modal features...
A Bi-directional, Multi-modality Framework for Segmentation of Brain StructuresCareful delineation of normal-tissue organs-at-risk is essential for brain tumor radiotherapy. However, this process is time-consuming and subject to variability. In this work, we propose a multi-modality framework that ...