EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone

Author:

Pramanick Shraman1,Song Yale2,Nag Sayan3,Lin Kevin Qinghong4,Shah Hardik2,Shou Mike Zheng4,Chellappa Rama1,Zhang Pengchuan2

Affiliation:

1. Johns Hopkins University

2. Meta AI

3. University of Toronto

4. National University of Singapore

Publisher

IEEE

Reference112 articles.

1. Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text;Akbari;Advances in Neural Information Processing Systems,2021

2. ViViT: A Video Vision Transformer

3. HierVL: Learning Hierarchical Video-Language Embeddings

4. Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

5. Vlmo: Unified vision-language pre-training with mixture-of-modality-experts;Bao;Advances in Neural Information Processing Systems,2022

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1. An Outlook into the Future of Egocentric Vision;International Journal of Computer Vision;2024-05-28

2. A Sound Approach: Using Large Language Models to Generate Audio Descriptions for Egocentric Text-Audio Retrieval;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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