violetteshev / bottom-up-featuresLinks
Bottom-up features extractor implemented in PyTorch.
☆72Updated 5 years ago
Alternatives and similar repositories for bottom-up-features
Users that are interested in bottom-up-features are comparing it to the libraries listed below
Sorting:
- [ECCV 2020] Official code for "Comprehensive Image Captioning via Scene Graph Decomposition"☆97Updated 11 months ago
- ☆219Updated 3 years ago
- PyTorch implementation of Image captioning with Bottom-up, Top-down Attention☆166Updated 6 years ago
- Implementation of the Object Relation Transformer for Image Captioning☆178Updated 10 months ago
- Code for Unsupervised Image Captioning☆218Updated 2 years ago
- ☆67Updated 2 years ago
- ICCV2019: Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network☆68Updated 5 years ago
- Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019☆50Updated 5 years ago
- Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"☆184Updated 4 years ago
- ☆38Updated 7 years ago
- Grid features pre-training code for visual question answering☆269Updated 3 years ago
- Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101☆237Updated 2 years ago
- Code release for Context-Aware Visual Policy Network for Sequence-Level Image Captioning (MM 2018) and Context-Aware Visual Policy Networ…☆46Updated 6 years ago
- Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]☆274Updated 4 years ago
- MUREL (CVPR 2019), a multimodal relational reasoning module for VQA☆195Updated 5 years ago
- Code for paper "Attention on Attention for Image Captioning". ICCV 2019☆333Updated 4 years ago
- python codes for CIDEr - Consensus-based Image Caption Evaluation☆32Updated 6 years ago
- This is the implementation of self-CIDEr and LSA-based diversity metrics (only for python 2.7).☆36Updated 3 years ago
- Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., …☆198Updated 2 years ago
- Code release for Hu et al., Language-Conditioned Graph Networks for Relational Reasoning. in ICCV, 2019☆92Updated 5 years ago
- Automatic image captioning model based on Caffe, using features from bottom-up attention.☆246Updated 2 years ago
- A PyTorch reimplementation of bottom-up-attention models☆302Updated 3 years ago
- Compact Trilinear Interaction for Visual Question Answering (ICCV 2019)☆38Updated 2 years ago
- Code for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" (NeurIPS 2019)☆65Updated 4 years ago
- PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"☆301Updated 5 years ago
- IJCAI2020: Learning to Discretely Compose Reasoning Module Networks for Video Captioning☆79Updated 4 years ago
- ☆62Updated 4 years ago
- Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)☆134Updated last year
- Learning Fragment Self-Attention Embeddings for Image-Text Matching, in ACM MM 2019☆41Updated 5 years ago
- Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval☆67Updated 5 years ago