Abstract: Transformer displays the impressive capabilities on vision tasks. The built-in self-attention retains the quadratic computation burden in respect of the spatial resolution of image features.
Abstract: The recent advances in compressing high-accuracy convolutional neural networks (CNNs) have witnessed remarkable progress in real-time object detection. To accelerate detection speed, ...
This is the implementation of the approach described in the paper: Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli. 3D human pose estimation in video with temporal convolutions ...
This is the implementation of the approach described in the paper: Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli. 3D human pose estimation in video with temporal convolutions ...
For deep learning-based object detection, we present a superior network named MSS-YOLOv5, which not only considers the reliability in complex scenes but also promotes its timeliness to better adapt to ...
In the last few years, Nvidia has successfully infused AI computing with PC gaming to make the experience as realistic as possible. Recently, they released their latest GeForce Game Ready driver to ...
DNA ligases act in the final step of many DNA repair pathways and are commonly regulated by the DNA sliding clamp proliferating cell nuclear antigen (PCNA), but there are limited insights into the ...
The semantic segmentation task in computer vision involves partitioning an image into a set of multiple non-overlapping and semantically interpretable regions. This entails assigning pixel-wise class ...
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