CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications [0.03%]
CAS-ViT：用于高效移动应用的卷积可加自注意力视觉变压器
Tianfang Zhang,Lei Li,Yang Zhou et al.
Tianfang Zhang et al.
Vision Transformers (ViTs) mark a revolutionary advance in neural networks with their token mixer's powerful global context capability. However, the pairwise token affinity and complex matrix operations limit its deployment on resource-cons...
StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors [0.03%]
基于不确定性引导的后门的隐蔽且无害的医学图像分割所有权验证方法
Qinkai Yu,Chong Zhang,Gaojie Jin et al.
Qinkai Yu et al.
Annotating medical data for training AI models is often costly and limited due to the shortage of specialists with relevant clinical expertise. This challenge is further compounded by privacy and ethical concerns associated with sensitive p...
Rethinking Multi-Focus Image Fusion: An Input Space Optimisation View [0.03%]
重新思考多焦点图像融合：从输入空间优化的角度出发
Zeyu Wang,Shuang Yu,Haoran Duan et al.
Zeyu Wang et al.
Multi-focus image fusion (MFIF) addresses the challenge of partial focus by integrating multiple source images taken at different focal depths. Unlike most existing methods that rely on complex loss functions or large-scale synthetic datase...
Zongxin Shen,Yanyong Huang,Dongjie Wang et al.
Zongxin Shen et al.
Unsupervised feature selection (UFS) has recently gained attention for its effectiveness in processing unlabeled high-dimensional data. However, existing methods overlook the intrinsic causal mechanisms within the data, resulting in the sel...
Knowledge-Prompted Trustworthy Disentangled Learning for Thyroid Ultrasound Segmentation with Limited Annotations [0.03%]
知识提示的可信解缠学习在有限注释下的甲状腺超声图像分割
Wenxu Wang,Weizhen Wang,Qianjin Feng et al.
Wenxu Wang et al.
The similar textures, diverse shapes and blurred boundaries of thyroid lesions in ultrasound images pose a significant challenge to accurate segmentation. Although several methods have been proposed to alleviate the aforementioned issues, t...
Pengfei Chen,Jiebin Yan,Rajiv Soundararajan et al.
Pengfei Chen et al.
Video Quality Assessment (VQA) strives to computationally emulate human perceptual judgments and has garnered significant attention given its widespread applicability. However, existing methodologies face two primary impediments: (1) limite...
HR-SemNet: A High-Resolution Network for Enhanced Small Object Detection With Local Contextual Semantics [0.03%]
一种利用局部语义信息的高分辨率网络微小目标检测方法
Can Peng,Manxin Chao,Ruoyu Li et al.
Can Peng et al.
Using higher-resolution feature maps in the network is an effective approach for detecting small objects. However, high-resolution feature maps face the challenge of lacking semantic information. This has led previous methods to rely on dow...
Chang Liu,Rui Li,Kaidong Zhang et al.
Chang Liu et al.
Diffusion models have demonstrated impressive abilities in generating photo-realistic and creative images. To offer more controllability for the generation process of diffusion models, previous studies normally adopt extra modules to integr...
U-RWKV: Accurate and Efficient Volumetric Medical Image Segmentation via RWKV [0.03%]
基于RWKV的准确高效的医学影像体积分割（U-RWKV）
Hongyu Cai,Yifan Wang,Liu Wang et al.
Hongyu Cai et al.
Accurate and efficient volumetric medical image segmentation is vital for clinical diagnosis, pre-operative planning, and disease-progression monitoring. Conventional convolutional neural networks (CNNs) struggle to capture long-range conte...
Topology-Guided Semantic Face Center Estimation for Rotation-Invariant Face Detection [0.03%]
基于拓扑引导的语义人脸中心估计旋转不变的人脸检测方法
Hathai Kaewkorn,Lifang Zhou,Weisheng Li et al.
Hathai Kaewkorn et al.
Face detection accuracy significantly decreases under rotational variations, including in-plane (RIP) and out-of-plane (ROP) rotations. ROP is particularly problematic due to its impact on landmark distortion, which leads to inaccurate face...