Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Methods and datasets on semantic segmentation: A review
Semantic segmentation, also called scene labeling, refers to the process of assigning a
semantic label (eg car, people, and road) to each pixel of an image. It is an essential data …
semantic label (eg car, people, and road) to each pixel of an image. It is an essential data …
Minimizing nonsubmodular functions with graph cuts-a review
Optimization techniques based on graph cuts have become a standard tool for many vision
applications. These techniques allow to minimize efficiently certain energy functions …
applications. These techniques allow to minimize efficiently certain energy functions …
Semantickitti: A dataset for semantic scene understanding of lidar sequences
Semantic scene understanding is important for various applications. In particular, self-driving
cars need a fine-grained understanding of the surfaces and objects in their vicinity. Light …
cars need a fine-grained understanding of the surfaces and objects in their vicinity. Light …
Maskfusion: Real-time recognition, tracking and reconstruction of multiple moving objects
We present MaskFusion, a real-time, object-aware, semantic and dynamic RGB-D SLAM
system that goes beyond traditional systems which output a purely geometric map of a static …
system that goes beyond traditional systems which output a purely geometric map of a static …
Deep projective 3D semantic segmentation
Semantic segmentation of 3D point clouds is a challenging problem with numerous real-
world applications. While deep learning has revolutionized the field of image semantic …
world applications. While deep learning has revolutionized the field of image semantic …
Statistical relational artificial intelligence: Logic, probability, and computation
An intelligent agent interacting with the real world will encounter individual people, courses,
test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of …
test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of …
Real-time human pose recognition in parts from single depth images
We propose a new method to quickly and accurately predict 3D positions of body joints from
a single depth image, using no temporal information. We take an object recognition …
a single depth image, using no temporal information. We take an object recognition …
Contextual classification of lidar data and building object detection in urban areas
In this work we address the task of the contextual classification of an airborne LiDAR point
cloud. For that purpose, we integrate a Random Forest classifier into a Conditional Random …
cloud. For that purpose, we integrate a Random Forest classifier into a Conditional Random …
3D point cloud segmentation: A survey
3D point cloud segmentation is the process of classifying point clouds into multiple
homogeneous regions, the points in the same region will have the same properties. The …
homogeneous regions, the points in the same region will have the same properties. The …
Real-time human pose recognition in parts from single depth images
We propose a new method to quickly and accurately predict human pose---the 3D positions
of body joints---from a single depth image, without depending on information from preceding …
of body joints---from a single depth image, without depending on information from preceding …