udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
Stars: ✭ 36 (-36.84%)
DataturksML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
Stars: ✭ 200 (+250.88%)
Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Stars: ✭ 54 (-5.26%)
Show and TellShow and Tell : A Neural Image Caption Generator
Stars: ✭ 74 (+29.82%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+121.05%)
captioning chainerA fast implementation of Neural Image Caption by Chainer
Stars: ✭ 17 (-70.18%)
Show Control And TellShow, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019
Stars: ✭ 243 (+326.32%)
OscarOscar and VinVL
Stars: ✭ 396 (+594.74%)
Awesome-CaptioningA curated list of Multimodal Captioning related research(including image captioning, video captioning, and text captioning)
Stars: ✭ 56 (-1.75%)
Image-CaptioiningThe objective is to process by generating textual description from an image – based on the objects and actions in the image. Using generative models so that it creates novel sentences. Pipeline type models uses two separate learning process, one for language modelling and other for image recognition. It first identifies objects in image and prov…
Stars: ✭ 20 (-64.91%)
Video2descriptionVideo to Text: Generates description in natural language for given video (Video Captioning)
Stars: ✭ 107 (+87.72%)
BUTD modelA pytorch implementation of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" for image captioning.
Stars: ✭ 28 (-50.88%)
OmninetOfficial Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
Stars: ✭ 448 (+685.96%)
CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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Caption generatorA modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
Stars: ✭ 243 (+326.32%)
Im2pTensorflow implementation of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs
Stars: ✭ 15 (-73.68%)
Sca Cnn.cvpr17Image Captions Generation with Spatial and Channel-wise Attention
Stars: ✭ 198 (+247.37%)
Show Adapt And TellCode for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
Stars: ✭ 146 (+156.14%)
Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 317 (+456.14%)
SightseqComputer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
Stars: ✭ 116 (+103.51%)
Show-Attend-and-TellA PyTorch implementation of the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Stars: ✭ 58 (+1.75%)
gramtionTwitter bot for generating photo descriptions (alt text)
Stars: ✭ 21 (-63.16%)
Medical Report GenerationA pytorch implementation of On the Automatic Generation of Medical Imaging Reports.
Stars: ✭ 100 (+75.44%)
Image CaptioningImage Captioning using InceptionV3 and beam search
Stars: ✭ 290 (+408.77%)
Self Critical.pytorchUnofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
Stars: ✭ 716 (+1156.14%)
LaBERTA length-controllable and non-autoregressive image captioning model.
Stars: ✭ 50 (-12.28%)
im2pTensorflow implement of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs
Stars: ✭ 43 (-24.56%)
UdacityThis repo includes all the projects I have finished in the Udacity Nanodegree programs
Stars: ✭ 57 (+0%)
Punny captionsAn implementation of the NAACL 2018 paper "Punny Captions: Witty Wordplay in Image Descriptions".
Stars: ✭ 31 (-45.61%)
catrImage Captioning Using Transformer
Stars: ✭ 206 (+261.4%)
stylenetA pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"
Stars: ✭ 58 (+1.75%)
CS231nCS231n Assignments Solutions - Spring 2020
Stars: ✭ 48 (-15.79%)
NeuralmonkeyAn open-source tool for sequence learning in NLP built on TensorFlow.
Stars: ✭ 400 (+601.75%)
AoanetCode for paper "Attention on Attention for Image Captioning". ICCV 2019
Stars: ✭ 242 (+324.56%)
image-captioning-DLCTOfficial pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).
Stars: ✭ 134 (+135.09%)
Image captioninggenerate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
Stars: ✭ 51 (-10.53%)
Image To Image SearchA reverse image search engine powered by elastic search and tensorflow
Stars: ✭ 200 (+250.88%)
Image-CaptionUsing LSTM or Transformer to solve Image Captioning in Pytorch
Stars: ✭ 36 (-36.84%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (+242.11%)
Virtex[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
Stars: ✭ 323 (+466.67%)
Image CaptioningImplementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]
Stars: ✭ 171 (+200%)
RSTNetRSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR 2021)
Stars: ✭ 71 (+24.56%)
Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Stars: ✭ 141 (+147.37%)
Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
Stars: ✭ 12 (-78.95%)
Gisgis (go image server) go 实现的图片服务,实现基本的上传,下载,存储,按比例裁剪等功能
Stars: ✭ 108 (+89.47%)
ScanPyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
Stars: ✭ 306 (+436.84%)
AdaptivePytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Stars: ✭ 97 (+70.18%)
Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
Stars: ✭ 52 (-8.77%)
Bottom Up AttentionBottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Stars: ✭ 989 (+1635.09%)
AdaptiveattentionImplementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
Stars: ✭ 303 (+431.58%)
MIACode for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" (NeurIPS 2019)
Stars: ✭ 57 (+0%)