Alternatives and similar repositories for clip4caption

Users that are interested in clip4caption are comparing it to the libraries listed below

• MarcusNerva / HMN
  [CVPR2022] Official code for Hierarchical Modular Network for Video Captioning. Our proposed HMN is implemented with PyTorch.
  ☆52Updated 2 years ago
• zohrehghaderi / VASTA
  A Video-to-Text Framework
  ☆10Updated last year
• ylqi / GL-RG
  The code of IJCAI22 paper "GL-RG: Global-Local Representation Granularity for Video Captioning".
  ☆19Updated 2 years ago
• Huntersxsx / TSGV-Learning-List
  Temporal Sentence Grounding in Videos / Natural Language Video Localization / Video Moment Retrieval的相关工作
  ☆28Updated 3 years ago
• yangbang18 / CARE
  (TIP'2023) Concept-Aware Video Captioning: Describing Videos with Effective Prior Information
  ☆29Updated 6 months ago
• Yaojie-Shen / CoCap
  [ICCV 2023] Accurate and Fast Compressed Video Captioning
  ☆46Updated this week
• Sejong-VLI / V2T-Action-Graph-JKSUCIS-2023
  The implementation of a paper entitled "Action Knowledge for Video Captioning with Graph Neural Networks" (JKSUCIS 2023).
  ☆13Updated 2 years ago
• UARK-AICV / VLTinT
  [AAAI 2023 Oral] VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
  ☆66Updated last year
• MCG-NJU / MMN
  [AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
  ☆90Updated 2 years ago
• minghangz / cpl
  CPL: Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning
  ☆63Updated last year
• foolwood / DRL
  [arXiv22] Disentangled Representation Learning for Text-Video Retrieval
  ☆95Updated 3 years ago
• showlab / mist
  ☆34Updated last year
• houzhijian / CONQUER
  [2021 MultiMedia] CONQUER: Contextual Query-aware Ranking for Video Corpus Moment Retrieval
  ☆42Updated 3 years ago
• 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
• Ziyang412 / UCoFiA
  Pytorch Code for "Unified Coarse-to-Fine Alignment for Video-Text Retrieval" (ICCV 2023)
  ☆65Updated last year
• zjr2000 / Untrimmed-Video-Feature-Extractor
  A simple and effective feature extractor for untrimmed videos
  ☆13Updated 2 years ago
• minghangz / cnm
  Weakly Supervised Video Moment Localisation with Contrastive Negative Sample Mining
  ☆27Updated 3 years ago
• TalalWasim / Vita-CLIP
  Official repository for "Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting" [CVPR 2023]
  ☆119Updated last year
• layer6ai-labs / xpool
  https://layer6ai-labs.github.io/xpool/
  ☆125Updated last year
• 26hzhang / ReLoCLNet
  Video Corpus Moment Retrieval with Contrastive Learning (SIGIR 2021)
  ☆58Updated 3 years ago
• bladewaltz1 / PromptSwitch
  ☆30Updated last year
• HengLan / CGSTVG
  [CVPR 2024] Context-Guided Spatio-Temporal Video Grounding
  ☆55Updated 11 months ago
• ruc-aimc-lab / TeachCLIP
  Source code of our CVPR2024 paper TeachCLIP for Text-to-Video Retrieval
  ☆35Updated last month
• haojc / ShufflingVideosForTSG
  Code for ECCV 2022 paper "Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding"
  ☆29Updated 2 years ago
• hobincar / SGN
  Official pytorch implementation of the AAAI 2021 paper "Semantic Grouping Network for Video Captioning"
  ☆54Updated 3 years ago
• jy0205 / STCAT
  [NeurIPS 2022] Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
  ☆51Updated last year
• NeverMoreLCH / Awesome-Video-Grounding
  A reading list of papers about Visual Grounding.
  ☆31Updated 2 years ago
• r-cui / ViGA
  "Video Moment Retrieval from Text Queries via Single Frame Annotation" in SIGIR 2022
  ☆69Updated 3 years ago
• waybarrios / guidance-based-video-grounding
  [ICCV 2023] The official PyTorch implementation of the paper: "Localizing Moments in Long Video Via Multimodal Guidance"
  ☆19Updated 9 months ago
• jianjieluo / SCD-Net
  [CVPR23] A cascaded diffusion captioning model with a novel semantic-conditional diffusion process that upgrades conventional diffusion m…
  ☆64Updated last year