Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing 这篇文章提出了Audio Visual Video Parsing,相比于之前的Video Localization任务只需要模型理解多模态共同存在的场景,这个新的任务需要多模态模型对各个单模态都有一定的认知能力,需要分辨出一个复杂的时序场景中,哪些是视频的,哪些是声音的...
[论文笔记] | NIPS'23 Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective 无影 7 人赞同了该文章 核心思路 引入language模态,对AVVP任务做segment-level的标签去噪. Motivation/Background AVVP任务在训练集上只提供video-level的label,而不提供modality和temporal boundary的标注。尽...
Such a problem is essential for a complete understanding of the scene depicted inside a video. To facilitate exploration, we collect a Look, Listen, and Parse (LLP) dataset to investigate audio-visual video parsing in a weakly-supervised manner. This task can be naturally formulated as a ...
Audio-Visual Video Parsing (AVVP) task aims to detect and temporally locate events within audio and visual modalities. Multiple events can overlap in the timeline, making identification challenging. While traditional methods usually focus on improving the early audio-visual encoders to embed more ...
In this paper we address the weakly-supervised Audio-Visual Video Parsing (AVVP) problem which aims at labeling events in a video as audible visible or both and temporally localizing and classifying them into known categories. This is challenging since we only have access to video-level (weak)...
Weakly supervised audio-visual video parsing Testing: python main_avvp.py --mode test --audio_dir /xx/feats/vggish/ --video_dir /xx/feats/res152/ --st_dir /xx/feats/r2plus1d_18/ Training: python main_avvp.py --mode train --audio_dir /xx/feats/vggish/ --video_dir /xx/feats/re...
Weakly supervised audio-visual video parsing (AVVP) methods aim to detect audible-only, visible-only, and audible-visible events using only video-level labels. Existing approaches tackle this by leveraging unimodal and cross-modal contexts. However, we argue that while cross-modal learning is benef...
[ECCV-2020] Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing Authors: Yapeng Tian, Dingzeyu Li, Chenliang Xu Institution: University of Rochester; Adobe Research [CVPR-2021] Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing Authors: Yu Wu,...
IEEE Transactions on Circuits & Systems for Video TechnologyS. Tsekeridou and I. Pitas, Content-based video parsing and indexing based on audio-visual interac-tion, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 11, No. 4, pp. 522–535,2001...
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