Stars
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, HarmonyOS, WebAssembly, watchOS, tvOS, visionOS
[CVPR Workshop DLGC, 2024] RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D Images
A Tutorial on Manipulator Differential Kinematics
Robotics Toolbox for Python
[IROS 2021] Dynamic Grasping with Reachability and Motion Awareness
🔥🔥🔥 专注于YOLO改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
PyTorch Code for Neural MP: A Generalist Neural Motion Planner
[NeurIPS 2023] This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
[BMVC 2024] Official repository of the paper titled "MSA^2 Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation"
Common used path planning algorithms with animations.
ROS2 was developed for the Realman robot (http://www.realman-robotics.com/).
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
ROS was developed for the Realman robot (http://www.realman-robotics.com/).
Official repository for Active Boundary Loss for Semantic Segmentation.
AlignSeg: Feature-Aligned Segmentation Networks (TPAMI 2021)
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
One UI is all done with chatgpt web, midjourney, gpts,suno,luma,runway,viggle,flux,ideogram,realtime,pika,udio; Simultaneous support Web / PWA / Linux / Win / MacOS platform
Attention-DenseUNet Using PyTorch With level set loss
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version in translation
Representation Learning and Representation Fusion for computer vision, semantic scene understanding, and robotics.
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Repository accompanying the paper: Self-supervised Video Object Segmentation by Motion Grouping. C. Yang, H. Lamdouar, E. Lu, A. Zisserman, W. Xie.
DVIS: Decoupled Video Instance Segmentation Framework