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ruc-aimc-lab avatar

ruc-aimc-lab/nt2vr

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4 stele·1 fork·Python·6 vizualizări

Nt2vr

This is the official source code of our paper: Learn to Understand Negation in Video Retrieval. We used Anaconda to setup a deep learning workspace that supports PyTorch. Run the following script to install all the required packages. `` conda create -n py37 python==3.7 -y conda activate py37 git…

Features

  • Video Retrieval Models - Understanding negation in video retrieval queries.

Istoric stele

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Întrebări frecvente

Ce face ruc-aimc-lab/nt2vr?

This is the official source code of our paper: Learn to Understand Negation in Video Retrieval. We used Anaconda to setup a deep learning workspace that supports PyTorch. Run the following script to install all the required packages. `` conda create -n py37 python==3.7 -y conda activate py37 git…

Care sunt principalele funcționalități ale ruc-aimc-lab/nt2vr?

Principalele funcționalități ale ruc-aimc-lab/nt2vr sunt: Video Retrieval Models.

Care sunt câteva alternative open-source pentru ruc-aimc-lab/nt2vr?

Alternativele open-source pentru ruc-aimc-lab/nt2vr includ: open-mmlab/mmaction2 — mmaction2 is a PyTorch video understanding toolbox designed for training and evaluating deep learning models. It… antoine77340/mixture-of-embedding-experts — This github repo provides a Pytorch implementation of the Mixture-of-Embeddings-Experts model (MEE) [1]. arrowluo/clip4clip — An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval". bighuang624/vop — News: The paper has been accepted to CVPR 2023! cryhanfang/clip2video — The implementation of paper CLIP2Video: Mastering Video-Text Retrieval via Image CLIP. antoine77340/howto100m — This repo provides code from the HowTo100M paper. We provide implementation of: - Our training procedure on HowTo100M…