fawazsammani / knowing-when-to-look-adaptive-attentionLinks
PyTorch Implementation of Knowing When to Look: Adaptive Attention via a Visual Sentinal for Image Captioning
☆84Updated 5 years ago
Alternatives and similar repositories for knowing-when-to-look-adaptive-attention
Users that are interested in knowing-when-to-look-adaptive-attention are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Image captioning with Bottom-up, Top-down Attention☆166Updated 6 years ago
- Image Captioning based on Bottom-Up and Top-Down Attention model☆102Updated 6 years ago
- Implementation of the Object Relation Transformer for Image Captioning☆178Updated 8 months ago
- Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning☆107Updated 7 years ago
- Code for paper "Attention on Attention for Image Captioning". ICCV 2019☆333Updated 4 years ago
- Bottom-up features extractor implemented in PyTorch.☆72Updated 5 years ago
- Code for Unsupervised Image Captioning☆218Updated 2 years ago
- Show, Edit and Tell: A Framework for Editing Image Captions, CVPR 2020☆80Updated 4 years ago
- ☆38Updated 7 years ago
- Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]☆274Updated 3 years ago
- ☆220Updated 3 years ago
- [EMNLP 2018] Training for Diversity in Image Paragraph Captioning☆89Updated 5 years ago
- Pytorch implement Show, Attend and Tell: Neural Image Caption Generation with Visual Attention☆94Updated 6 years ago
- ☆67Updated 2 years ago
- Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).☆200Updated 2 years ago
- Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019☆50Updated 5 years ago
- Code for GHA (ACCV2018)☆13Updated 6 years ago
- Automatic image captioning model based on Caffe, using features from bottom-up attention.☆246Updated 2 years ago
- Code for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" （NeurIPS 2019）☆65Updated 4 years ago
- This is the implementation of self-CIDEr and LSA-based diversity metrics (only for python 2.7).☆36Updated 3 years ago
- Transformer-based image captioning extension for pytorch/fairseq☆317Updated 4 years ago
- Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering☆106Updated 5 years ago
- Unofficial tensorflow implementation of "Bottom-up and Top-down attention for VQA" (TF v. 1.13)☆39Updated 5 years ago
- Deliberate Attention Networks for Image Captioning (AAAI 2019)☆11Updated 5 years ago
- CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering☆75Updated 5 years ago
- Implementation of paper "Improving Image Captioning with Better Use of Caption"☆32Updated 4 years ago
- Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., …☆199Updated 2 years ago
- A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures…☆294Updated 9 months ago
- This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".☆20Updated 6 years ago
- Re-implement CVPR2017 paper: "dense captioning with joint inference and visual context" and minor changes in Tensorflow. (mAP 8.296 after…☆61Updated 6 years ago