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zhangyiming786's Projects

afa icon afa

[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

boxer icon boxer

Code release for "BoxeR: Box-Attention for 2D and 3D Transformers"

cartographer icon cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

depth_clustering icon depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

dll icon dll

DLL: Direct Lidar Localization

downkyi icon downkyi

哔哩下载姬downkyi,B站视频下载工具,支持批量下载,支持4K,支持解除地区限制下载,提供工具箱(音视频提取、去水印等)。

dynaslam icon dynaslam

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

fast-planner icon fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

fast_lio icon fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

fda icon fda

Fourier Domain Adaptation for Semantic Segmentation

fifo icon fifo

[CVPR 2022 Oral] Official PyTorch implementation of FIFO

floam icon floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)

fuel icon fuel

An Efficient Framework for Fast UAV Exploration

geoseg icon geoseg

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery. Also, including other vision transformer and CNN for satellite, aerial image and UAV image.

gvins icon gvins

Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

hanet icon hanet

Official PyTorch implementation of HANet (CVPR 2020)

hyperseg icon hyperseg

HyperSeg - Official PyTorch Implementation

intensity_slam icon intensity_slam

Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment

iscloam icon iscloam

Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

labels4free icon labels4free

https://rameenabdal.github.io/Labels4Free/ (ICCV 2021)

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