Our attention based deformable module, as a generic module for 3D ConvNets, can adaptively learn more accurate spatio-temporal offsets to model the action irregularity. The experiments on two popular datasets (UCF-101 and HMDB-51) demonstrate that our module significantly outperforms the state-of...
we propose the spatio-temporal deformable attention network (STDANet) for video delurring, which extracts the information of sharp pixels by considering the pixel-wise blur levels of the video frames. Specifically, STDANet is an encoder-decoder network combined with the motion estimator and spatio...
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 ...
In this paper, we propose a novel Semantic-guided Spatio-temporal Attention (SGSTA) approach for few-shot action recognition. The main idea of SGSTA is to exploit the semantic information contained in the text embedding of labels to guide attention to more accurately capture the rich spatio-...
不同于vanilla deformable attention,这个offsets ΔpΔp 是从此处 concate {Q,B′t−1}{Q,Bt−1′} 预测而出问题区:R-101 DCN 没找到... 搜了一下 相关Github: https://github.com/open-mmlab/mmdetection/blob/master/configs/dcn/README.md 是resnet 101 卷积核可变吗?【15, 12】 实验中 用...
Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need. In: Proceedings of Advances in Neural Information Processing Systems, 2017. Google Scholar [17] Zhu X Z, Su W J, Lu L W, et al. Deformable DETR: deformable transformers for end-to-end object detection. In: Proceeding...
Spatial Cross-Attention 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 ...
[32] develop pyramid, cascading, and deformable convolution to achieve better alignment per- formance. They have used a simpler temporal and spatial at- tention strategies. First, they align the neighboring frames, and then at each pixel location, they aggregate the informa- tion u...
(2) A fast temporal information aggregation module is introduced where deformable convolution is adopted to extract the information of a moving object. The channel attention is also employed for adaptively capturing important information. (3) A redundancy-aware inference is developed for video SR. By...