DataturksML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
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Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
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MIACode for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" (NeurIPS 2019)
Stars: ✭ 57 (-92.04%)
Show Control And TellShow, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019
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Awesome-CaptioningA curated list of Multimodal Captioning related research(including image captioning, video captioning, and text captioning)
Stars: ✭ 56 (-92.18%)
captioning chainerA fast implementation of Neural Image Caption by Chainer
Stars: ✭ 17 (-97.63%)
Video2descriptionVideo to Text: Generates description in natural language for given video (Video Captioning)
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Show and TellShow and Tell : A Neural Image Caption Generator
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Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
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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 (-66.06%)
Sca Cnn.cvpr17Image Captions Generation with Spatial and Channel-wise Attention
Stars: ✭ 198 (-72.35%)
Show-Attend-and-TellA PyTorch implementation of the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Stars: ✭ 58 (-91.9%)
Show Adapt And TellCode for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
Stars: ✭ 146 (-79.61%)
Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 317 (-55.73%)
SightseqComputer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
Stars: ✭ 116 (-83.8%)
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 (-97.21%)
ArnetCVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
Stars: ✭ 94 (-86.87%)
CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 30 (-95.81%)
CameramanagerSimple Swift class to provide all the configurations you need to create custom camera view in your app
Stars: ✭ 1,130 (+57.82%)
BUTD modelA pytorch implementation of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" for image captioning.
Stars: ✭ 28 (-96.09%)
catrImage Captioning Using Transformer
Stars: ✭ 206 (-71.23%)
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 (-92.88%)
Image-CaptionUsing LSTM or Transformer to solve Image Captioning in Pytorch
Stars: ✭ 36 (-94.97%)
CS231nCS231n Assignments Solutions - Spring 2020
Stars: ✭ 48 (-93.3%)
Image CaptioningImage Captioning using InceptionV3 and beam search
Stars: ✭ 290 (-59.5%)
AoanetCode for paper "Attention on Attention for Image Captioning". ICCV 2019
Stars: ✭ 242 (-66.2%)
RSTNetRSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR 2021)
Stars: ✭ 71 (-90.08%)
Virtex[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
Stars: ✭ 323 (-54.89%)
Image To Image SearchA reverse image search engine powered by elastic search and tensorflow
Stars: ✭ 200 (-72.07%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (-72.77%)
im2pTensorflow implement of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs
Stars: ✭ 43 (-93.99%)
Image CaptioningImplementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]
Stars: ✭ 171 (-76.12%)
AdaptivePytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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NeuralmonkeyAn open-source tool for sequence learning in NLP built on TensorFlow.
Stars: ✭ 400 (-44.13%)
gramtionTwitter bot for generating photo descriptions (alt text)
Stars: ✭ 21 (-97.07%)
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 (-84.92%)
stylenetA pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"
Stars: ✭ 58 (-91.9%)
Medical Report GenerationA pytorch implementation of On the Automatic Generation of Medical Imaging Reports.
Stars: ✭ 100 (-86.03%)
ScanPyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
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LaBERTA length-controllable and non-autoregressive image captioning model.
Stars: ✭ 50 (-93.02%)
Coco CnEnriching MS-COCO with Chinese sentences and tags for cross-lingual multimedia tasks
Stars: ✭ 57 (-92.04%)
image-captioning-DLCTOfficial pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).
Stars: ✭ 134 (-81.28%)
UdacityThis repo includes all the projects I have finished in the Udacity Nanodegree programs
Stars: ✭ 57 (-92.04%)
OmninetOfficial Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
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OscarOscar and VinVL
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AdaptiveattentionImplementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
Stars: ✭ 303 (-57.68%)
Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Stars: ✭ 54 (-92.46%)
udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
Stars: ✭ 36 (-94.97%)