Paper: Rethinking temporal self-similarity for repetitive action counting 1. 摘要部分 主要介绍了一种用于统计未裁剪长视频中重复动作次数的新方法,当前SOTA方法是先通过采样的视频帧生成一个时间自相似矩阵(Temporal Self-Similarity Matrix, TSM),再将该矩阵输入到一个预测网络,得到动作的计数。 TSM缺点: 时间自...
CLASS AGNOSTIC REPETITION COUNTING IN VIDEO(S) UTILIZING A TEMPORAL SELF-SIMILARITY MATRIXTechniques are disclosed that enable processing a video capturing a periodic activity using a repetition network to generate periodic output (e.g., a period length of the periodic activity captured in the video...
It is important to stress that this notion of memory as a dependence on the initial time (or, equivalently, break-down of temporal self-similarity of the map) shows up at the level of maps, and is not obvious at the level of generators. If the intermediate map{\mathcal {E}}(t_2,t...
Mask matrix self-adaptive matrix 以上两种方法都缺乏对复杂时空相关性的表征能力。 Temporal self-attention module :可以提取动态的时空相关性,但是在长时间范围的预测中由于时空数据的动态变化和噪音,该模块面临过拟合问题,且对于自回归模型而言误差积累难以避免 2.当前一些模型难以捕捉局部和全局之间的依赖关系 基于RNN...
(Supplementary Fig.5j–l). Importantly, these smaller nodules retained their pink color (Supplementary Fig.5j), and tissue sectioning assays revealed their similarity to wild-type nodules (Supplementary Fig.5m), confirming their maturity. These findings supported our hypothesis that LjNLP3 regulates ...
基于该 self-similarity matrix A,作者将 template feature 进行转换,然后将输出和输入进行残差相加: 其中,该归一化的结果是编码后的 template feature。 2.2 Transformer Decoder: 解码器部分将 search patch feature S 作为其输入。首先将其 reshape 为 S',然后再利用 self-attention 机制进行特征增强: ...
calculation of similarity as a two-input regression task requires longer time. SBERT has been proposed to solve these problems. In our experiments, we use 3 hidden layers each with 500 dimensions, ReLU activation, and dropout rates of 75%. The output layer is based on a softmax classifier....
Güneş, İ., Gündüz-Öğüdücü, Ş., Çataltepe, Z.: Link prediction using time series of neighborhood-based node similarity scores. Data Min. Knowl. Discov.30(1), 147–180 (2016) MathSciNetMATHGoogle Scholar Hansen, N., Ostermeier, A.: Completely derandomized self-adaptation...
The key findings from this study are reduction of gene-expression dynamics to a one-dimension manifold revealed by principal component analysis (PCA), the stability of the aging signature across biological conditions, scaling self-similarity of both aging transcript trajectories and survival curves, pla...
Therefore, this paper uses the Pearson correlation coefficient to evaluate the similarity of traffic flow series under a certain time granularity and constructs the adjacency matrix accordingly. Ablation experimental results show that discussing the indirect correlation of non-adjacent sections has a ...