Yihang She,Andrew Blake,David Coomes et al.
Yihang She et al.
Accurate tree segmentation is a key step in extracting individual tree metrics from forest laser scans, and is essential to understanding ecosystem functions in carbon cycling and beyond. Over the past decade, tree segmentation algorithms h...
Vojtech Panek,Qunjie Zhou,Yaqing Ding et al.
Vojtech Panek et al.
Visual localization algorithms, i.e., methods that estimate the camera pose of a query image in a known scene, are core components of many applications, including self-driving cars and augmented / mixed reality systems. State-of-the-art vis...
Distillation-free Scaling of Large State-Space Models for Images and Videos [0.03%]
无蒸馏的大状态空间模型的图像和视频规模扩展
Hamid Suleman,Syed Talal Wasim,Muzammal Naseer et al.
Hamid Suleman et al.
State-space models (SSMs), exemplified by S4, have introduced a novel context modeling method by integrating state-space techniques into deep learning. Despite their effectiveness, SSMs struggle with global context modeling due to data-inde...
Are Minimal Radial Distortion Solvers Really Necessary for Relative Pose Estimation? [0.03%]
最小径向畸变求解器真的有必要用于相对姿态估计吗？
Viktor Kocur,Charalambos Tzamos,Yaqing Ding et al.
Viktor Kocur et al.
Estimating the relative pose between two cameras is a fundamental step in many applications such as Structure-from-Motion. The common approach to relative pose estimation is to apply a minimal solver inside a RANSAC loop. Highly efficient s...
Structure-from-motion in micro-image domain for uncalibrated plenoptic 2.0 cameras [0.03%]
用于未校准光场2.0相机的微图像结构从运动法
Sarah Dury,Daniele Bonatto,Jaime Sancho et al.
Sarah Dury et al.
We introduce a structure-from-motion method specifically designed to process the raw micro-images captured by plenoptic 2.0 cameras. Unlike traditional monocular cameras, plenoptic cameras incorporate a micro-lens array between the sensor a...
FourierMIL: Fourier Filtering-based Multiple Instance Learning for Whole Slide Image Analysis [0.03%]
傅里叶滤波的基于整体滑动图像分析的多实例学习方法
Yi Zheng,Harsh Sharma,Margrit Betke et al.
Yi Zheng et al.
Recent advancements in computer vision, including convolutional neural networks, multilayer perceptrons, graph-based methods and transformer architectures, have significantly improved image classification. However, applying these techniques...
Nazir Nayal,Youssef Shoeb,Fatma Güney
Nazir Nayal
Addressing the Out-of-Distribution (OoD) segmentation task is a prerequisite for perception systems operating in an open-world environment. Large foundational models are frequently used in downstream tasks, however, their potential for OoD ...
From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehave [0.03%]
从森林到动物园：使用ChimpBehave进行大猩猩行为识别
Michael Fuchs,Emilie Genty,Adrian Bangerter et al.
Michael Fuchs et al.
This paper addresses the significant challenge of recognizing behaviors in non-human primates, specifically focusing on chimpanzees. Automated behavior recognition is crucial for both conservation efforts and the advancement of behavioral r...
Jisui Huang,Ke Chen,Andreas Alpers et al.
Jisui Huang et al.
Existing level set models employ regularization based only on gradient information, 1D curvature or 2D curvature. For 3D image segmentation, however, an appropriate curvature-based regularization should involve a well-defined 3D curvature e...
A Physics-Informed Deep Learning Deformable Medical Image Registration Method Based on Neural ODEs [0.03%]
基于神经ODE的物理信息深度学习医学图像配准方法
Amirhossein Amiri-Hezaveh,Shelly Tan,Qing Deng et al.
Amirhossein Amiri-Hezaveh et al.
An unsupervised machine learning method is introduced to align medical images in the context of the large deformation elasticity coupled with growth and remodeling biophysics. The technique, which stems from the principle of minimum potenti...