这篇文章更加详细的介绍可以参考之前写的博客 [论文 | 小样本视频动作分类few-shot video action recognition《Embodied One-Shot Video Recognition: Learning fro...], 以及欢迎大家多多关注(●´∀`●)ﾉ。 2.3TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition (BMVC...
In this paper, we consider a more challenging few-shot action recognition problem where the training samples are few and rare. To solve this problem, memory network has been designed to use an external memory to remember the experience learned in training and then apply it to few-shot ...
1. Compound Memory Networks (ECCV2018)：提出了一种复合记忆网络，通过meta-learning处理视频动作识别。网络结构分为multi-saliency embedding和key-value memory，用于表示视频特征和对应动作标签，支持快速检索和动态更新。2. Embodied One-Shot Video Recognition (ACM Multimedia 2019)：实验室的研究利用虚...
Few-shot Action Recognition with Prototype-centered Attentive Learning阅读笔记,程序员大本营,技术文章内容聚合第一站。
2.7 Few-shot Action Recognition with Permutation-invariant Attention (ECCV2020) 这是ECCV2020的一篇文章,文章的主要构成如下图: 网络框架整体上看起来比较复杂,我们从左往右看。 C3D feature encoder:首先是输入的support clips,这里的颜色块跟后面都是对应的,对于每个video,先用C3D network(C3D网接受16帧输入)...
downstream few-shot task, enabling MetaUVFS to significantly outperform all unsupervised methods on few-shot benchmarks. Moreover, unlike previous few-shot action recognition methods that are supervised, MetaUVFS needs neither base-class labels nor a supervised pretrained ...
[1] Temporal-Relational CrossTransformers for Few-Shot Action Recognition [2] Spatio-temporal Relation Modeling for Few-shot Action Recognition [3] DARTS: Differentiable Architecture Search [4] NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection...
Few-shot action recognition aims to recognize novel action classes with limited labeled samples and has recently received increasing attention. The core objective of few-shot action recognition is to enhance the discriminability of feature representations. In this paper, we propose a novel multi-view ...
action-recognitionfew-shot-recognitionopen-set-recognitionlong-tailed-recognitionvideo-language UpdatedJan 18, 2024 Python [IEEE ICIP (2021)] Coupled Patch Similarity Network For One-Shot Fine-Grained Image Recognition fine-grainedfew-shot-recognition ...
Temporal-Relational CrossTransformers for Few-Shot Action Recognition Toby Perrett Alessandro Masullo Tilo Burghardt Majid Mirmehdi Dima Damen .@bristol.ac.uk Department of Computer Science, University of Bristol, UK Abstract We propose a novel approach to few-shot a...