探究浙江大学健康打卡的原理与对抗策略

探究浙江大学健康打卡的原理与对抗策略

This package provides localization in a pre-built map using ICP and odometry (or the IMU measurements).

Bayesian Generalized Kernel Inference for Terrain Traversability Mapping

Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping

The Mesh Navigation Stack: Efficient Mobile Robot Navigation in Uneven Terrain

GEM: Online Globally consistent dense elevation mapping for unstructured terrain.

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

Image Classification using Bag of Words and Spatial Pyramid BoW

📡 Multi-Level Pattern Histogram for Synthetic-Aperture Radar (SAR) image classification into terrain classes.

Spot SDK repo

Self-supervised Deep LiDAR Odometry for Robotic Applications

ICRA2020 paperlist by paopaorobot

MARS: Motion-Augmented RGB Stream for Action Recognition

Feature Extractor module for videos using the PySlowFast framework

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Convolutional neural network model for video classification trained on the Kinetics dataset.

temporal action detection with SSN

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

Activity Recognition Algorithms for the Charades Dataset

This repository is modified from Xiang Gao's "ORB_SLAM2_modified".It is added a dense loopclosing map model.

A GUI client for Windows, Linux and macOS, support Xray and sing-box and others

Real-Time 3D Semantic Reconstruction from 2D data

This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"

Index repo for Kimera code

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.