Alternatives and similar repositories for bottom-up-attention-vqa:

Users that are interested in bottom-up-attention-vqa are comparing it to the libraries listed below

• ezeli / BUTD_model
  A pytorch implementation of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" for image captioning.
  ☆47Updated 3 years ago
• zhangxuying1004 / RSTNet
  Official Code for 'RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words' (CVPR 2021)
  ☆122Updated 2 years ago
• 232525 / PureT
  Implementation of 'End-to-End Transformer Based Model for Image Captioning' [AAAI 2022]
  ☆67Updated 10 months ago
• GT-RIPL / Xmodal-Ctx
  Official PyTorch implementation of our CVPR 2022 paper: Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for …
  ☆60Updated 2 years ago
• ruotianluo / coco-caption
  ☆67Updated 2 years ago
• luo3300612 / image-captioning-DLCT
  Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).
  ☆198Updated 2 years ago
• CrossmodalGroup / SSL-VQA
  Code for our IJCAI2020 paper: Overcoming Language Priors with Self-supervised Learning for Visual Question Answering
  ☆50Updated 4 years ago
• jacobswan1 / ViTCAP
  Implementation for CVPR 2022 paper " Injecting Semantic Concepts into End-to-End Image Captionin".
  ☆42Updated 2 years ago
• YiwuZhong / Sub-GC
  [ECCV 2020] Official code for "Comprehensive Image Captioning via Scene Graph Decomposition"
  ☆97Updated 7 months ago
• MILVLG / mmnas
  Deep Multimodal Neural Architecture Search
  ☆28Updated 4 years ago
• LgQu / DIME
  Dynamic Modality Interaction Modeling for Image-Text Retrieval. SIGIR'21
  ☆68Updated 2 years ago
• woodfrog / vse_infty
  Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021 (Oral)
  ☆161Updated 2 years ago
• aioz-ai / ICCV19_VQA-CTI
  Compact Trilinear Interaction for Visual Question Answering (ICCV 2019)
  ☆38Updated 2 years ago
• CrossmodalGroup / BFAN
  Implementation of our ACMMM2019 paper, Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching
  ☆38Updated last year
• MILVLG / bottom-up-attention.pytorch
  A PyTorch reimplementation of bottom-up-attention models
  ☆298Updated 3 years ago
• MILVLG / mt-captioning
  A PyTorch implementation of the paper Multimodal Transformer with Multiview Visual Representation for Image Captioning
  ☆25Updated 4 years ago
• yangxuntu / SGAE
  ☆220Updated 3 years ago
• CrossmodalGroup / CMCAN
  Implementation of our AAAI2022 paper, Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching.
  ☆36Updated last year
• yangbang18 / Non-Autoregressive-Video-Captioning
  The PyTorch code of the AAAI2021 paper "Non-Autoregressive Coarse-to-Fine Video Captioning".
  ☆58Updated last year
• sks3i / pycocoevalcap
  Microsoft COCO Caption Evaluation Tool - Python 3
  ☆33Updated 5 years ago
• shenxiang-vqa / LSAT
  Local self-attention in Transformer for visual question answering
  ☆12Updated last year
• yuleiniu / cfvqa
  [CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
  ☆121Updated 3 years ago
• CrossmodalGroup / GSMN
  Implementation of our CVPR2020 paper, Graph Structured Network for Image-Text Matching
  ☆167Updated 4 years ago
• yahoo / object_relation_transformer
  Implementation of the Object Relation Transformer for Image Captioning
  ☆177Updated 6 months ago
• zyang-ur / onestage_grounding
  A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)
  ☆146Updated 4 years ago
• yanxinzju / CSS-VQA
  Counterfactual Samples Synthesizing for Robust VQA
  ☆78Updated 2 years ago
• facebookresearch / grid-feats-vqa
  Grid features pre-training code for visual question answering
  ☆269Updated 3 years ago
• violetteshev / bottom-up-features
  Bottom-up features extractor implemented in PyTorch.
  ☆72Updated 5 years ago
• terry-r123 / Awesome-Captioning
  A curated list of Multimodal Captioning related research(including image captioning, video captioning, and text captioning)
  ☆110Updated 2 years ago
• luo3300612 / Transformer-Captioning
  Optimized code based on M2 for faster image captioning training
  ☆20Updated 2 years ago