Neural Caption Generator with Attention

Last update: Nov 30, 2022

Overview

Neural Caption Generator with Attention

Tensorflow implementation of "Show, attend and Tell" http://arxiv.org/abs/1502.03044
Borrowed most of the idea from the author's source code https://github.com/kelvinxu/arctic-captions

Code

make_flickr_dataset.py: Extracts conv5_3 layer activations of VGG Network for flickr30k images, and save them in 'data/feats.npy'
model_tensorflow.py: Main codes

Usage

Download flickr30k Dataset.
Extract VGG conv5_3 features using make_flickr_dataset.py
Train: run train() in model_tensorflow.py
Test: run test() in model_tensorflow.py

Owner

Taeksoo Kim

GitHub Repository

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Neural Caption Generator with Attention

Related tags

Overview

Neural Caption Generator with Attention

Code

Usage

Owner

Taeksoo Kim

Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, Leyffer, Kirches, and Manns.

Tensorflow Implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE

[ICCV2021] Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

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