Alternatives and similar repositories for VGAMT:

Users that are interested in VGAMT are comparing it to the libraries listed below

• scofield7419 / UMMT-VSH
  Code for the ACL 2023 paper Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Sc…
  ☆13Updated last year
• ictnlp / PLUVR
  Code for ACL 2022 main conference paper "Neural Machine Translation with Phrase-Level Universal Visual Representations".
  ☆21Updated last year
• libeineu / fairseq_mmt
  This code repository is for the accepted ACL2022 paper "On Vision Features in Multimodal Machine Translation". We provide the details and…
  ☆43Updated 2 years ago
• LividWo / Revisit-MMT
  ☆24Updated 3 years ago
• DeepLearnXMU / mc_tit
  Code for ACL 2023 paper: Exploring Better Text Image Translation with Multimodal Codebook
  ☆20Updated last year
• Aman-4-Real / awesome-multimodal-dialogue
  Paper, dataset and code list for multimodal dialogue.
  ☆20Updated 3 months ago
• hate-alert / HateMM
  ☆11Updated 10 months ago
• ictnlp / LNMT-CA
  Code for EMNLP 2022 main conference paper "Low-resource Neural Machine Translation with Cross-modal Alignment".
  ☆14Updated 2 years ago
• FudanDISC / weakly-supervised-mVLP
  Implementation of our ACL2023 paper: Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Langua…
  ☆19Updated last year
• declare-lab / MM-InstructEval
  This repository contains code to evaluate various multimodal large language models using different instructions across multiple multimoda…
  ☆27Updated last month
• XL2248 / MSCTD
  Code and Data for the ACL22 main conference paper "MSCTD: A Multimodal Sentiment Chat Translation Dataset"
  ☆41Updated 4 months ago
• Wusiwei0410 / SciMMIR
  ☆22Updated 8 months ago
• uds-lsv / MCSE
  NAACL 2022: MCSE: Multimodal Contrastive Learning of Sentence Embeddings
  ☆55Updated 10 months ago
• ImKeTT / ReSee
  [EMNLP'23 Oral] ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue PyTorch Implementation
  ☆12Updated last year
• ahnjaewoo / MPCHAT
  📸 Code and Dataset for our ACL 2023 paper: "MPCHAT: Towards Multimodal Persona-Grounded Conversation"
  ☆22Updated last year
• zhiyuanhubj / Long_form_VideoQA
  [EMNLP’24 Main] Encoding and Controlling Global Semantics for Long-form Video Question Answering
  ☆17Updated 6 months ago
• Yebin46 / FLEUR
  [ACL 2024] FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model
  ☆15Updated 8 months ago
• jmhessel / caption_contest_corpus
  Corpus to accompany: "Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest"
  ☆55Updated last month
• open-vision-language / oven
  ☆35Updated last year
• e-bug / iglue
  [ICML 2022] Code and data for our paper "IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages"
  ☆49Updated 2 years ago
• abwilf / Social-IQ-2.0-Challenge
  The Social-IQ 2.0 Challenge Release for the Artificial Social Intelligence Workshop at ICCV '23
  ☆28Updated last year
• edchengg / oven_eval
  ICCV 2023 (Oral) Open-domain Visual Entity Recognition Towards Recognizing Millions of Wikipedia Entities
  ☆40Updated 7 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆63Updated last year
• liujch1998 / vera
  ☆16Updated last year
• zmykevin / UC2
  CVPR 2021 Official Pytorch Code for UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training
  ☆34Updated 3 years ago
• MrZilinXiao / AutoVER
  [ECCV'24] Official Implementation of Autoregressive Visual Entity Recognizer.
  ☆14Updated last year
• yrf1 / LLM-MassiveMulticultureNormsKnowledge-NCLB
  ☆16Updated last month
• iesl / ProtoQA_GPT2
  This is the GPT2 baseline for ProtoQA
  ☆12Updated 3 years ago
• HITsz-TMG / SKURG
  ☆18Updated last year
• edchengg / infoseek_eval
  EMNLP2023 - InfoSeek: A New VQA Benchmark focus on Visual Info-Seeking Questions
  ☆22Updated 10 months ago