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EVAD/README.md at main · MCG-NJU/EVAD · GitHub

News [2023.07.14] Our EVAD is accepted by ICCV 2023! [2023.06.09] Code and model weights have been released!
github.com

GitHub - MCG-NJU/EVAD: [ICCV 2023] Efficient Video Action …

[ICCV 2023] Efficient Video Action Detection with Token Dropout and Context Refinement - MCG-NJU/EVAD
github.com

EVAD | Young's Blog

2024年8月24日 · EVAD能够实现实时的推理in an end-to-end manner。 之前流行的model 是VideoMAE,是一个两阶段的model,需要一个离线的person detector来pre-compute person …
young-eng.github.io

【论文阅读】Efficient Video Action Detection with Token ...

2023年10月30日 · 文章目录 动机 针对动机的做法 摘要和结论 引言 方法 Overall EVAD Architecture Keyframe-centric Token Pruning Video Action Detection
blog.csdn.net

EVAD复现 Efficient Video Action Detection with Token ...

2025年3月19日 · EVAD复现 Efficient Video Action Detection with Token Dropout and Context Refinement_evad论文与代码-CSDN博客
blog.csdn.net

[2304.08451] Efficient Video Action Detection with Token …

2023年4月17日 · In this work, we propose an end-to-end framework for efficient video action detection (EVAD) based on vanilla ViTs. Our EVAD consists of two specialized designs for video action …
arxiv.org

[2304.08451] Efficient Video Action Detection with Token ... - ar5iv

In this work, we propose an end-to-end framework for efficient video action detection (EVAD) based on vanilla ViTs. Our EVAD consists of two specialized designs for video action detection. First, we …
ar5iv.labs.arxiv.org

Evad(Chinese mainland actress and model.)_Baiduwiki

Evad was dubbed the "Long-legged Goddess" by netizens due to her golden-ratio figure and beautiful legs. She is fashionable yet not eccentric, beautiful yet not ostentatious, thus becoming a favorite in …
baike.baidu.com

Evad's Phases - The Uncanny Incredible Wiki | Fandom

2026年6月24日 · Phase 114000 (Evad) Phase 115000 (Evad) Phase 116000 (Evad) Phase 117.9 (Evad) Phase 117000 (Verstörend Studios) Phase 118000 (Evad) Phase 118000 (The Real Devon)
the-uncanny-incredible.fandom.com

ICCV 2023 Open Access Repository

2023年9月29日 · In this work, we propose an end-to-end framework for efficient video action detection (EVAD) based on vanilla ViTs. Our EVAD consists of two specialized designs for video action …
openaccess.thecvf.com

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