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Learnable feature augmentation framework for temporal action localization
Temporal action localization (TAL) has drawn much attention in recent years, however, the
performance of previous methods is still far from satisfactory due to the lack of annotated …
performance of previous methods is still far from satisfactory due to the lack of annotated …
Adapting short-term transformers for action detection in untrimmed videos
Abstract Vision Transformer (ViT) has shown high potential in video recognition owing to its
flexible design adaptable self-attention mechanisms and the efficacy of masked pre-training …
flexible design adaptable self-attention mechanisms and the efficacy of masked pre-training …
Dr2Net: Dynamic reversible dual-residual networks for memory-efficient finetuning
C Zhao, S Liu, K Mangalam, G Qian… - Proceedings of the …, 2024 - openaccess.thecvf.com
Large pretrained models are increasingly crucial in modern computer vision tasks. These
models are typically used in downstream tasks by end-to-end finetuning which is highly …
models are typically used in downstream tasks by end-to-end finetuning which is highly …
Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?
Video understanding relies on accurate action detection for temporal analysis. However,
existing mainstream methods have limitations in real-world applications due to their offline …
existing mainstream methods have limitations in real-world applications due to their offline …
Online episodic memory visual query localization with egocentric streaming object memory
Z Manigrasso, M Dunnhofer, A Furnari… - arxiv preprint arxiv …, 2024 - arxiv.org
Episodic memory retrieval aims to enable wearable devices with the ability to recollect from
past video observations objects or events that have been observed (eg," where did I last see …
past video observations objects or events that have been observed (eg," where did I last see …
Semi‐supervised pipe video temporal defect interval localization
In sewer pipe closed‐circuit television inspection, accurate temporal defect localization is
essential for effective pipe assessment. Industry standards typically do not require time …
essential for effective pipe assessment. Industry standards typically do not require time …
Multi-scale Graph Convolutional Network for understanding human action in videos
Temporal action detection aims to classify and locate human action in videos, which has
been a difficult challenge in the field of smart transportation and intelligent manufacturing. In …
been a difficult challenge in the field of smart transportation and intelligent manufacturing. In …
A transformer-based convolutional local attention (ConvLoA) method for temporal action localization
In the realm of temporal localization in videos, our research introduces a novel framework
that achieves significant results in event localization in videos. We depart from conventional …
that achieves significant results in event localization in videos. We depart from conventional …
Temporal action localization with State-Sensitive Mamba and centroid sequences enhancement
The temporal action localization task aims to identify and localize human behaviors in
unedited videos. However, most previous studies have employed sampling processing and …
unedited videos. However, most previous studies have employed sampling processing and …
Training-Free Zero-Shot Temporal Action Detection with Vision-Language Models
Existing zero-shot temporal action detection (ZSTAD) methods predominantly use fully
supervised or unsupervised strategies to recognize unseen activities. However, these …
supervised or unsupervised strategies to recognize unseen activities. However, these …