Alternatives and similar repositories for VLTinT:

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

• Ziyang412 / UCoFiA
  Pytorch Code for "Unified Coarse-to-Fine Alignment for Video-Text Retrieval" (ICCV 2023)
  ☆62Updated 8 months ago
• UARK-AICV / VLCAP
  [ICIP 2022 oral] VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
  ☆28Updated last year
• doc-doc / CoVGT
  Contrastive Video Question Answering via Video Graph Transformer (IEEE T-PAMI'23)
  ☆19Updated 11 months ago
• jinhyunj / EaTR
  Official pytorch repository for "Knowing Where to Focus: Event-aware Transformer for Video Grounding" (ICCV 2023)
  ☆49Updated last year
• j-min / HiREST
  Hierarchical Video-Moment Retrieval and Step-Captioning (CVPR 2023)
  ☆98Updated 3 weeks ago
• yangbang18 / MultiCapCLIP
  (ACL'2023) MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
  ☆35Updated 6 months ago
• waybarrios / guidance-based-video-grounding
  [ICCV 2023] The official PyTorch implementation of the paper: "Localizing Moments in Long Video Via Multimodal Guidance"
  ☆18Updated 4 months ago
• jy0205 / STCAT
  [NeurIPS 2022] Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
  ☆47Updated 11 months ago
• sail-sg / VGT
  Video Graph Transformer for Video Question Answering (ECCV'22)
  ☆46Updated last year
• layer6ai-labs / xpool
  https://layer6ai-labs.github.io/xpool/
  ☆118Updated last year
• liupeng0606 / clip4caption
  The first unofficial implementation of CLIP4Caption: CLIP for Video Caption (ACMMM 2021)
  ☆14Updated 2 years ago
• antoyang / TubeDETR
  [CVPR 2022 Oral] TubeDETR: Spatio-Temporal Video Grounding with Transformers
  ☆176Updated last year
• tsujuifu / pytorch_empirical-mvm
  A PyTorch implementation of EmpiricalMVM
  ☆40Updated last year
• zjr2000 / LLMVA-GEBC
  Winner solution to Generic Event Boundary Captioning task in LOVEU Challenge (CVPR 2023 workshop)
  ☆29Updated last year
• sangminwoo / Explore-And-Match
  Official pytorch implementation of "Explore-And-Match: Bridging Proposal-Based and Proposal-Free With Transformer for Sentence Grounding …
  ☆42Updated 2 years ago
• fmu2 / snag_release
  Official Implementation of SnAG (CVPR 2024)
  ☆42Updated 3 months ago
• UARK-AICV / AOE-Net
  [IJCV] AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation
  ☆19Updated 7 months ago
• acherstyx / CoCap
  [ICCV 2023] Accurate and Fast Compressed Video Captioning
  ☆36Updated last year
• xuguohai / X-CLIP
  An official implementation for "X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval"
  ☆149Updated 10 months ago
• TalalWasim / Vita-CLIP
  Official repository for "Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting" [CVPR 2023]
  ☆114Updated last year
• doc-doc / NExT-GQA
  Can I Trust Your Answer? Visually Grounded Video Question Answering (CVPR'24, Highlight)
  ☆63Updated 7 months ago
• antoyang / just-ask
  [ICCV 2021 Oral + TPAMI] Just Ask: Learning to Answer Questions from Millions of Narrated Videos
  ☆118Updated last year
• ruc-aimc-lab / TeachCLIP
  Source code of our CVPR2024 paper TeachCLIP for Text-to-Video Retrieval
  ☆26Updated last month
• houzhijian / GroundNLQ
  The champion solution for Ego4D Natural Language Queries Challenge in CVPR 2023
  ☆16Updated last year
• bladewaltz1 / PromptSwitch
  ☆28Updated last year
• mlvlab / Flipped-VQA
  Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)
  ☆74Updated 6 months ago
• LiuRicky / ts2_net
  [ECCV2022] A pytorch implementation for TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval
  ☆75Updated 2 years ago
• medhini / Instructional-Video-Summarization
  Code for paper, "TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency" ECCV 2022
  ☆37Updated 2 years ago
• HengLan / CGSTVG
  [CVPR 2024] Context-Guided Spatio-Temporal Video Grounding
  ☆47Updated 7 months ago
• houzhijian / CONE
  [2023 ACL] CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
  ☆30Updated last year