Train I3D on NTU-RGB+D dataset in keras
☆11Feb 5, 2019Updated 7 years ago
Alternatives and similar repositories for i3d
Users that are interested in i3d are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Independently Recurrent Neural Network - IndRNN using "NTU RGB+D" Action Recognition Dataset☆10May 13, 2019Updated 6 years ago
- Distance Matrix Neural Networks for human action recognition☆13Oct 23, 2017Updated 8 years ago
- Compute action classification accuracy from skeleton joints using LSTM☆15Mar 24, 2020Updated 6 years ago
- This is partial implementations of PR 2017 and CVPR 2018☆31Aug 15, 2018Updated 7 years ago
- ☆13Jan 8, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A keras based implementation of FuSENet as in paper "Fused Squeeze-and-Excitation Network for Spectral-Spatial Hyperspectral Image Classi…☆12Dec 12, 2020Updated 5 years ago
- ☆10Oct 11, 2022Updated 3 years ago
- Use human pose information to help action recognition, explored with attention-pooling method, C3D method and two-stream architecture, im…☆18Jun 7, 2018Updated 7 years ago
- Train I3D model on ucf101 or hmdb51 by tensorflow☆112Feb 27, 2019Updated 7 years ago
- ☆14Jun 25, 2022Updated 3 years ago
- ☆17Oct 9, 2020Updated 5 years ago
- Learning Memory Access Pattern☆12Feb 28, 2019Updated 7 years ago
- Pose driven attention mechanism☆44Mar 31, 2022Updated 4 years ago
- [INACTIVE] A bunch of articficial intelligence algorithms☆12May 14, 2016Updated 9 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Group Sparse Representation for Kronecker Compressive Sensing, Image Process. Image Under. (IPIU) 2016☆11Apr 6, 2016Updated 10 years ago
- Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.☆44Dec 8, 2022Updated 3 years ago
- dist☆10Dec 14, 2018Updated 7 years ago
- The Tensorflow implement of the DHCNet☆11Aug 4, 2018Updated 7 years ago
- SecureML Introduction☆10Aug 12, 2023Updated 2 years ago
- Model-Free Episodic Control☆14Jan 12, 2017Updated 9 years ago
- Tensorflow code for the paper 'Modality Distillation with Multiple Stream Networks for Action Recognition', ECCV 2018☆18May 2, 2019Updated 6 years ago
- The Official PyTorch implementation of "Learning Multi-View Interactional Skeleton Graph for Action Recognition" in TPAMI 2020☆24Mar 28, 2021Updated 5 years ago
- Compression of Deep Neural Networks LeNet-300-100 and LeNet-5 trained on MNIST and CIFAR-10 using Quantization, Knowledge Distillation & …☆20Aug 22, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆16Jan 14, 2021Updated 5 years ago
- Code to use the nturgb+d dataset for action recognition☆15Mar 19, 2018Updated 8 years ago
- Video + CLIP Baseline for Ego4D Long Term Action Anticipation Challenge (CVPR 2022)☆15Jul 4, 2022Updated 3 years ago
- Named entity recognition system using multi-stage CRF and statistical rules☆12Oct 3, 2016Updated 9 years ago
- coding examples to Intro to RL☆13Apr 30, 2018Updated 7 years ago
- View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition☆133Jun 12, 2023Updated 2 years ago
- Source code of "Scalable Recurrent Neural Network for Hyperspectral Image Classification"☆18Sep 13, 2020Updated 5 years ago
- ☆13Oct 24, 2021Updated 4 years ago
- 优化国际化文案的 Babel 插件，可以减少国际化文案 40% ~ 50% 的 bundle size。☆14Nov 1, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Read the skeleton files provided in NTU RGB skeleton dataset and draw the skeleton on the corresponding RGB video.☆18Jul 3, 2019Updated 6 years ago
- ☆19Aug 28, 2019Updated 6 years ago
- Claude Code CLI 中文教程 - 从入门到精通，涵盖配置、Hooks、Skills、MCP集成及企业级最佳实践 。☆46Dec 3, 2025Updated 4 months ago
- ☆11Jun 15, 2019Updated 6 years ago
- Code associated with "M2A: Motion Aware Attention for Accurate Video Action Recognition"☆12Jan 25, 2022Updated 4 years ago
- 重邮开源镜像使用帮助文档☆16Jul 17, 2024Updated last year
- ☆11Aug 22, 2018Updated 7 years ago