GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → thtang → DLCV2018SPRING

thtang / DLCV2018SPRING

Licence: Apache-2.0 License
Deep Learning for Computer Vision (CommE 5052) in NTU

Programming Languages

Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language

Labels

recognitioncomputer-visiondeep-learningpytorchseq2seqimage-generationface-recognitionconvolutional-neural-networksimage-segmentationsemantic-segmentationaction-recognitionmany-to-manymodel-compressioncodewordfeature-disentanglement

Projects that are alternatives of or similar to DLCV2018SPRING

ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Stars: ✭ 1,102 (+2800%)
Mutual labels:  face-recognition, image-segmentation, action-recognition
facematch
Facematch is a tool to verifies if two photos contain the same person.
Stars: ✭ 62 (+63.16%)
Mutual labels:  recognition, face-recognition
FaceIDLight
A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
Stars: ✭ 17 (-55.26%)
Mutual labels:  recognition, face-recognition
Semantic-Segmentation-BiSeNet
Keras BiseNet architecture implementation
Stars: ✭ 55 (+44.74%)
Mutual labels:  image-segmentation, semantic-segmentation
ResUNetPlusPlus-with-CRF-and-TTA
ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
Stars: ✭ 98 (+157.89%)
Mutual labels:  image-segmentation, semantic-segmentation
K-Net
[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation
Stars: ✭ 434 (+1042.11%)
Mutual labels:  image-segmentation, semantic-segmentation
timeline
Timeline - A photo organizer
Stars: ✭ 39 (+2.63%)
Mutual labels:  recognition, face-recognition
Imagedetect
✂️ Detect and crop faces, barcodes and texts in image with iOS 11 Vision api.
Stars: ✭ 286 (+652.63%)
Mutual labels:  recognition, face-recognition
SUIM
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020
Stars: ✭ 53 (+39.47%)
Mutual labels:  image-segmentation, semantic-segmentation
ICCV2021-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
Stars: ✭ 2,022 (+5221.05%)
Mutual labels:  image-segmentation, action-recognition
BMW-IntelOpenVINO-Segmentation-Inference-API
This is a repository for a semantic segmentation inference API using the OpenVINO toolkit
Stars: ✭ 31 (-18.42%)
Mutual labels:  image-segmentation, semantic-segmentation
Opencv Course
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
Stars: ✭ 185 (+386.84%)
Mutual labels:  recognition, face-recognition
Labelbox
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
Stars: ✭ 1,588 (+4078.95%)
Mutual labels:  recognition, image-segmentation
RGBD-semantic-segmentation
A paper list of RGBD semantic segmentation (processing)
Stars: ✭ 264 (+594.74%)
Mutual labels:  image-segmentation, semantic-segmentation
Epic Kitchens 55 Action Models
EPIC-KITCHENS-55 baselines for Action Recognition
Stars: ✭ 68 (+78.95%)
Mutual labels:  recognition, action-recognition
Entity
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Stars: ✭ 313 (+723.68%)
Mutual labels:  image-segmentation, semantic-segmentation
HugsVision
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Stars: ✭ 154 (+305.26%)
Mutual labels:  image-generation, semantic-segmentation
Mlds2018spring
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (+226.32%)
Mutual labels:  seq2seq, image-generation
survey-computer-vision-2021
2021年计算机视觉技术综述分类汇总
Stars: ✭ 54 (+42.11%)
Mutual labels:  face-recognition, image-segmentation
InstantDL
InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
Stars: ✭ 33 (-13.16%)
Mutual labels:  image-segmentation, semantic-segmentation
View All Similar Projects ➔

Deep Learning for Computer Vision

Lecturer: Prof. Yu-Chiang Frank Wang
Course website: http://vllab.ee.ntu.edu.tw/dlcv.html

Repo. content

  1. Principal Component Analysis and k-Nearest Neighbors Classification [link]
  2. Kernel method; Color and texture segmentation; Recognition with bag of visual words [link]
  3. Semantic segmentation of satellite images [link]
  4. Image Generation and Feature Disentanglement [link]
  5. Recurrent neural networks (RNN) for action recognition [link]
  6. Face Recognition and model compression [link]

Experiment environment

  • OS: Ubuntu 16.04.3 LTS
  • Python 3
  • GPU: 1080 Ti (11G RAM)
  • CPU: Xeon(R) E5-2667 v4
  • RAM: 500 GB

Contact:

Feel free to contact me ([email protected]) if you have any problem.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].