Jialiang Tang,Ning Jiang,Hongyuan Zhu et al.
Jialiang Tang et al.
Data-free knowledge distillation aims to learn a small student network from a large pre-trained teacher network without the aid of original training data. Recent works propose to gather alternative data from the Internet for training studen...
CalibNet: Dual-Branch Cross-Modal Calibration for RGB-D Salient Instance Segmentation [0.03%]
CalibNet：RGBD 目标显著性实例分割的双路径跨模态校正方法
Jialun Pei,Tao Jiang,He Tang et al.
Jialun Pei et al.
In this study, we propose a novel approach for RGB-D salient instance segmentation using a dual-branch cross-modal feature calibration architecture called CalibNet. Our method simultaneously calibrates depth and RGB features in the kernel a...
An Embeddable Implicit IUVD Representation for Part-Based 3D Human Surface Reconstruction [0.03%]
一种嵌入式的隐式人体部件基于三维人体表面重建的IUVD表示方法
Baoxing Li,Yong Deng,Yehui Yang et al.
Baoxing Li et al.
To reconstruct a 3D human surface from a single image, it is crucial to simultaneously consider human pose, shape, and clothing details. Recent approaches have combined parametric body models (such as SMPL), which capture body pose and shap...
Zengyu Wan,Ganchao Tan,Yang Wang et al.
Zengyu Wan et al.
Event cameras respond to temporal dynamics, helping to resolve ambiguities in spatio-temporal changes for optical flow estimation. However, the unique spatio-temporal event distribution challenges the feature extraction, and the direct cons...
MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation [0.03%]
基于多张脑部解剖 atlas 的端到端强化对比学习框架 MAS-CL 在脑区分割中的应用研究
Liang Sun,Yanling Fu,Junyong Zhao et al.
Liang Sun et al.
Brain region-of-interest (ROI) segmentation with magnetic resonance (MR) images is a basic prerequisite step for brain analysis. The main problem with using deep learning for brain ROI segmentation is the lack of sufficient annotated data. ...
Multispectral Image Stitching via Global-Aware Quadrature Pyramid Regression [0.03%]
基于全局感知的正交金字塔回归多光谱图像拼接方法
Zhiying Jiang,Zengxi Zhang,Jinyuan Liu et al.
Zhiying Jiang et al.
Image stitching is a critical task in panorama perception that involves combining images captured from different viewing positions to reconstruct a wider field-of-view (FOV) image. Existing visible image stitching methods suffer from perfor...
Qiugang Zhan,Guisong Liu,Xiurui Xie et al.
Qiugang Zhan et al.
Recent advances in bio-inspired vision with event cameras and associated spiking neural networks (SNNs) have provided promising solutions for low-power consumption neuromorphic tasks. However, as the research of event cameras is still in it...
Spiking Tucker Fusion Transformer for Audio-Visual Zero-Shot Learning [0.03%]
用于音频视觉零样本学习的脉冲Tucker融合变压器
Wenrui Li,Penghong Wang,Ruiqin Xiong et al.
Wenrui Li et al.
The spiking neural networks (SNNs) that efficiently encode temporal sequences have shown great potential in extracting audio-visual joint feature representations. However, coupling SNNs (binary spike sequences) with transformers (float-poin...
Exploring Multi-Modal Spatial-Temporal Contexts for High-Performance RGB-T Tracking [0.03%]
用于高性能RGB-T跟踪的多模态时空上下文研究
Tianlu Zhang,Qiang Jiao,Qiang Zhang et al.
Tianlu Zhang et al.
In RGB-T tracking, there exist rich spatial relationships between the target and backgrounds within multi-modal data as well as sound consistencies of spatial relationships among successive frames, which are crucial for boosting the trackin...
Remote Sensing Change Detection With Bitemporal and Differential Feature Interactive Perception [0.03%]
基于双时相与差分特征交互感知的遥感变化检测方法
Hao Chang,Peijin Wang,Wenhui Diao et al.
Hao Chang et al.
Recently, the transformer has achieved notable success in remote sensing (RS) change detection (CD). Its outstanding long-distance modeling ability can effectively recognize the change of interest (CoI). However, in order to obtain the prec...