“CLIP 4剪辑:CLIP用于端到端视频剪辑检索的实证研究”的官方实现
msvd 开源项目推荐(18 个)
msvd 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 18
GitHub 共 18 个仓库,已全部展示An official implementation for "X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval"
Summary about Video-to-Text datasets. This repository is part of the review paper *Bridging Vision and Language from the Video-to-Text Perspective: A Comprehensive Review*
Pytorch code for Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
A PyTorch implementation of state of the art video captioning models from 2015-2019 on MSVD and MSRVTT datasets.
[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"
Source code for Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling Strategy
Source code for Delving Deeper into the Decoder for Video Captioning
Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*
Python implementation of extraction of several visual features representations from videos
Source code of the paper titled *Attentive Visual Semantic Specialized Network for Video Captioning*
[Pattern Rcognition 2021] This is the Theano code for our paper "Enhancing the Alignment between Target Words and Corresponding Frames for Video Captioning".
To build attention based encoder-decoder model for video captioning on the MSVD dataset
MSVD-Indonesian: A Benchmark for Multimodal Video-Text Tasks in Indonesian (Bahasa Indonesia).
LSTM RNN and Transformer networks video captioning on MSVD and MSR-VTT using attributes and SVOS
This project utilizes advanced deep learning techniques to automatically generate contextually relevant captions for videos by extracting spatial and temporal features, while incorporating Gaussian attention to focus on important regions. This enhances video indexing, retrieval, and accessibility for visually impaired individuals.
Zero-shot text-to-video retrieval using CLIP ViT-L/14 with multi-scale frame sampling and temporal attention, evaluated on MSVD
Demo pipeline on YT Framework and YTsaurus: list MSVD videos in S3, join captions, extract frames, and export ChatML training data at scale.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 18 个项目;原始页面见 https://github.com/topics/msvd。
- 该话题在 GitHub 上共有 18 个仓库, 本站收录的是其中最热门的 18 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 18 个项目累计 1786 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。