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a-neural-compositional-paradigm-for-image-captioning

Implementation of 'A Neural Compositional Paradigm for Image Captioning' by B. Dai, S.Fidler, D. Lin

a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

accelerated_dl_pytorch

Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta pytorch学习

adaptive

Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

ai_notes

AI算法学习笔记

alignedreid-re-production-pytorch

Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

arctic-captions

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

caption-guided-saliency

Supplementary material to "Top-down Visual Saliency Guided by Captions" (CVPR 2017)

caption-stylenet_tensorflow

Tensorflow implementation of C. Gan, Z. Gan, X. He, J. Gao, and L. Deng, “StyleNet: Generating Attractive Visual Captions with Styles”

cider

python codes for CIDEr - Consensus-based Image Caption Evaluation

clcaption_nips2017

Contrastive Learning for Image Captioning

coco-caption

cocodataset.github.io

convcap

cvpr17

Gaze Embeddings for Zero-Shot Image Classification CVPR17

cvpr18-caption-eval

Learning to Evaluate Image Captioning. CVPR 2018

dcc

Implementation of CVPR 2016 paper

decoupled-novel-object-captioner

Code for Decoupled Novel Object Captioner

deep-learning-models

Keras code and weights files for popular deep learning models.

disccaptioning

Code for Discriminability objective for training descriptive captions(CVPR 2018)

diverse_and_specific_image_captioning

Unsupervised specificity-guided optimization of Image Captioning models to encourage meaningful diversity in the generated captions.

django-allauth

Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication.

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation"

hub

A library for transfer learning by reusing parts of TensorFlow models.

im2txt_demo

im2txt + pretrained models + docker = easy tryout

image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

image_captioning_ai_challenger

Code for AI Challenger contest. (Generating chinese image captions)

imagecaptioning.pytorch

Image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)

iqa

Image Quality Assessment.