activitynet-captions

End-to-End Dense Video Captioning with Parallel Decoding (ICCV 2021)

Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

[ACL 2020] PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)

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*

A curated list of “Temporally Language Grounding” and related area

A Pytorch implemention for some state-of-the-art models for" Temporally Language Grounding in Untrimmed Videos"

Second-place solution to dense video captioning task in ActivityNet Challenge (CVPR 2020 workshop)

Dense video captioning in PyTorch

Python implementation of extraction of several visual features representations from videos

Federated VCMR @ Edge. Built a privacy-preserving federated video-text retrieval system using Federated Learning and Differential Privacy. Optimized MobileCLIP for edge deployment, achieving 87% mAP and 38% lower inference latency.

Code-Mart is a Django-based platform where developers can upload and sell digital content, while customers can easily browse and purchase items. With features like role-based access, secure payments, and an admin panel, this marketplace streamlines the process for both creators and buyers. 🛒💻