The model in this paper is a three-branch model including raw branch, object branch and part branch. The images are fed directly into the raw branch. Coordinate Attention Object Localization Module (CAOLM) is used to localize and crop objects in the image to generate the input for the ...
level semantic information. Towards the end of the backbone, a Spatial Pyramid Pooling-Fast (SPPF) module is integrated. It establishes multi-branch, multi-scale pooling layers to create and amalgamate features of varied scales, thereby enhancing the network’s multi-scale feature representation capa...
In this paper, we will focus attention on linear multi-axis systems, examine the various types and configurations, and review basic design considerations. These considerations will help guide the exploration of pre-engineered systems, modified systems, and custom-designed systems to meet your speci...
RTMO引入一种动态坐标分类器(Dynamic CoordinateClassifier, DCC),该分类器包括定位到边界框的动态bin分配和可学习bin表示。此外,本文提出一种新的基于最大似然估计(Maximum Likelihood Estimation, MLE)的损失函数来有效训练坐标heatmap。这种新的损失允许学习逐样本不确定性,自动调整任务难度,并平衡难易样本之间的优化,...
ACNet extracts image features by balancing the distribution of features through ACM (Attention Complementary Modules) and adding a third branch. The SE (Squeeze and Excitation) module is used first for feature extraction, followed by the additive fusion. Except for the fusion mode, the other ...
1. The framework is composed of two branches: the 3D Geometric branch and the 2D Texture branch. The input of the 3D Geometric branch is a 3D point cloud that can be obtained directly from a lidar sensor or using the depth information and the intrinsic camera parameters of an RGB-D ...
As a human recognizes a referent object with the guid- ance of language, it is natural to rely on three steps: 1) ob- serve its appearance (i.e., frame-based), 2) check its move- ment based on multiple frames (i.e., video-based), 3) s...
"Enhancing Thermal Infrared Tracking with Natural Language Modeling and Coordinate Sequence Generation." ArXiv (2024). [paper] [code] Yang Luo, Xiqing Guo, Hao Li. "From Two-Stream to One-Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation." ArXiv (2024). ...
The nth branch of any nth stage has the smallest heatmap resolution size and largest number of channels for that stage. We take advantage of this feature to properly compress the spatial information in the channel, perform dense modeling, and restore the resolution of the heatmap by upsampling...
As depicted in figure 2, we can choose a coordinate system where p⃗5 is aligned with the z-axis and p⃗2 lies somewhere in xz-plane. We define θ2 as the zenith-angle of p⃗3, whereas θToller is the azimuth angle. Alternatively, the Toller angle can be thought of as the ...