In this paper, a global projection self-attention mechanism is proposed to empower shallow models generate robust video representations. Compared to Non-local [ ...

At present, many models based on convolution neural networks for features extracting need to stack deeper network layers to improve the robustness, which means ...

Bibliographic details on Attention alignment by linear space projection for video features extraction.

Sep 17, 2024 · Unsupervised domain adaptation (UDA) in videos is a challenging task that remains not well explored compared to image-based UDA techniques.

A typical pipeline for video classification task involves three core components: (1) A feature extractor, (2) Temporal modeling layer and (3) Classification ...

Oct 16, 2020 · Each encoder mainly consists of three components: a pretrained feature extractor, a parallel projection layers group, and a Cluster Attention ...

Apr 21, 2022 · In this work, we develop AutoAlign, a learnable multi-modal feature fusion method for 3D object detection. The pro- posed Cross-Attention ...

In this paper, a novel technique is introduced to address the video alignment task which is one of the hot topics in computer vision.

Mar 27, 2023 · This paper reviews the deep learning attention methods in medical image analysis. A comprehensive literature survey is first conducted to analyze the keywords ...

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