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bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

caffe

Caffe: a fast open framework for deep learning.

daps

This repo allocate DAPs code of our ECCV 2016 publication

deep-action-proposals

Action Proposals generated by deep models

demo

densecap

Dense image captioning in Torch

densecap-1

Dense video captioning in PyTorch

densevid_eval

Evaluation code for Dense-Captioning Events in Videos

densevideocaptioning

Official Tensorflow Implementation of the paper "Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning" in CVPR 2018

fanqiang

翻墙-科学上网

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

google-neural-machine-translation-gnmt

It is a tensorflow implementation of GNMT

image_captioning_ai_challenger

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

jieba

结巴中文分词

models

Models and examples built with TensorFlow

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

pycocoevalcap

Python 3 support for the MS COCO caption evaluation tools

sca-cnn

image captions generation with spatial and channel-wise attention

tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

thulac-python

An Efficient Lexical Analyzer for Chinese

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

wsdec

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.