Spatio-temporal deformableAttention mechanism3D ConvNetsThe irregularity of human actions poses great challenges in video action recognition. Recently, 3D ConvNet methods have shown promising performance at modelling the motion and appearance information. However, the fixed geometric structure of 3D ...
Implementation of "Spatio-Temporal Deformable Attention Network for Video Deblurring". (Zhang et al., ECCV 2022) - huicongzhang/STDAN
基于deformable attention的空间交叉注意力,这是一个资源高效的attention-layer。其中每个 Bev query Q仅与其跨摄像机视图的感兴趣区域经行交互。 对deformable attention 进行3D场景调整。 (1)将BEV平面上的每个queries提升为柱状查询。从柱子中采样N个3D参考点,然后将这些点投影到2d视图,对于一个BEV查询,投影的2D点...
In this paper, we propose a unique spatiotemporal context feedback bidirectional attention network, which segments breast cancer by modeling dynamic contrast-enhanced dependency to exploit pharmacokinetics feature representations. Specifically, we design a temporal context feedback encoder to learn ...
Spatio-Temporal Attention Based LSTM Networks for 3D Action Recognition and Detection 基于LSTM的时空注意力网络进行3D行为识别和检测) IEEE Transactions on Image Processing 2018 Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation 论文笔记 目的是引进一个spatio-temporal sub...
ST-ABC: Spatio-Temporal Attention-Based Convolutional Network for Multi-Scale Lane-Level Traffic Prediction. Shuhao Li (Fudan University, Shanghai), Yue Cui, Libin Li, Weidong Yang, Fan Zhang, Xiaofang Zhou. ICDE 2024 [link] Learning Time-Aware Graph Structures for Spatially Correlated Time Seri...
TIN [61] adopts deformable shift module and has the highest accuracy on AP@[0.5:0.95] without STAloss added. TEA is the combination of subtraction and tempo- ral shift in a light- weight configuration. In our opinion, temporal shift models pre...
原有的deformable attn机制只适应于2D的目标检测,在bev感知中需要进行适当的调整 下面具体阐释在Spatial Cross Attention的具体做法 1、在理解上,bev query不是仅仅同一个bev grid对应,而是同一个pillar区域对应 此处在原文中表述如下 "lift each query on the BEV plane to a pillar-like query" 理解:假设query对...
Deformable DETR: Deformable transform- ers for end-to-end object detection. In ICLR, 2021. 2 [105] Bohan Zhuang, Qi Wu, Chunhua Shen, Ian Reid, and Anton Van Den Hengel. Parallel attention: A unified framework for visual object discovery through dialogs and queries. In...
Addressing the issue of fine-grained feature misalignment in deformable attention mechanisms, we propose a Deformable Cross-Scale Transformer (DCST) module. This module employs a multi-scale offset mechanism, enabling non-uniform sampling of features across different scales. This enhances the spatial inf...