Alternatives and similar repositories for SeViLA

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

• antoyang / FrozenBiLM
  [NeurIPS 2022] Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
  ☆156Updated 10 months ago
• jayleicn / singularity
  [ACL 2023] Official PyTorch code for Singularity model in "Revealing Single Frame Bias for Video-and-Language Learning"
  ☆136Updated 2 years ago
• j-min / HiREST
  Hierarchical Video-Moment Retrieval and Step-Captioning (CVPR 2023)
  ☆106Updated 9 months ago
• doc-doc / NExT-QA
  NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)
  ☆172Updated 2 months ago
• jssprz / video_captioning_datasets
  Summary about Video-to-Text datasets. This repository is part of the review paper *Bridging Vision and Language from the Video-to-Text Pe…
  ☆129Updated last year
• klauscc / VindLU
  ☆110Updated 2 years ago
• CeeZh / LLoVi
  Official implementation for "A Simple LLM Framework for Long-Range Video Question-Answering"
  ☆101Updated 11 months ago
• StanfordVL / atp-video-language
  Official repo for CVPR 2022 (Oral) paper: Revisiting the "Video" in Video-Language Understanding. Contains code for the Atemporal Probe (…
  ☆51Updated last year
• egoschema / EgoSchema
  ☆101Updated 9 months ago
• xuguohai / X-CLIP
  An official implementation for "X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval"
  ☆175Updated last year
• doc-doc / NExT-GQA
  Can I Trust Your Answer? Visually Grounded Video Question Answering (CVPR'24, Highlight)
  ☆82Updated last year
• DCDmllm / Momentor
  ☆80Updated 11 months ago
• tsujuifu / pytorch_empirical-mvm
  A PyTorch implementation of EmpiricalMVM
  ☆41Updated last year
• MikeWangWZHL / Paxion
  Repo for paper: "Paxion: Patching Action Knowledge in Video-Language Foundation Models" Neurips 23 Spotlight
  ☆37Updated 2 years ago
• mlvlab / Flipped-VQA
  Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)
  ☆76Updated 6 months ago
• VRU-NExT / VideoQA
  ☆96Updated 3 years ago
• facebookresearch / EgoVLPv2
  Code release for "EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone" [ICCV, 2023]
  ☆99Updated last year
• MikeWangWZHL / VidIL
  Pytorch code for Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
  ☆115Updated 3 years ago
• showlab / all-in-one
  [CVPR2023] All in One: Exploring Unified Video-Language Pre-training
  ☆281Updated 2 years ago
• antoyang / VidChapters
  [NeurIPS 2023 D&B] VidChapters-7M: Video Chapters at Scale
  ☆198Updated last year
• salesforce / ALPRO
  Align and Prompt: Video-and-Language Pre-training with Entity Prompts
  ☆187Updated 5 months ago
• RifleZhang / LLaVA-Hound-DPO
  ☆155Updated 11 months ago
• farewellthree / BT-Adapter
  [CVPR 2024] Official PyTorch implementation of the paper "One For All: Video Conversation is Feasible Without Video Instruction Tuning"
  ☆35Updated last year
• allenai / aokvqa
  Official repository for the A-OKVQA dataset
  ☆100Updated last year
• showlab / EgoVLP
  [NeurIPS 2022] Egocentric Video-Language Pretraining
  ☆248Updated last year
• imagegridworth / IG-VLM
  ☆138Updated last year
• Soldelli / MAD
  MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions
  ☆168Updated 2 years ago
• yellow-binary-tree / HawkEye
  Official implementation of HawkEye: Training Video-Text LLMs for Grounding Text in Videos
  ☆42Updated last year
• jy0205 / STCAT
  [NeurIPS 2022] Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
  ☆52Updated last year
• llyx97 / TempCompass
  [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, …
  ☆124Updated 6 months ago