Aug 17, 2021 · For an off-the-shelf architecture, we replace the standard square-kernel convolutional layers with ACBs to construct an Asymmetric Convolutional Network (ACNet), …

ACNet: Attention Complementary Network for RGBD semantic segmentation - anheidelonghu/ACNet

In this paper, we propose an asymmetric CNN (ACNet) comprising an asymmetric block (AB), a memory enhancement block (MEB) and a high-frequency feature enhancement block …

The ACNet model remains the same as before, but it has been uniformly updated with a new implementation, which is theoretically faster. The ACNet model includes 5 variants, from …

Python 1.1k 60 RepVGG Public RepVGG: Making VGG-style ConvNets Great Again Python 3.4k 433 ACNet Public ACNet: Strengthening the Kernel Skeletons for Powerful CNN via …

Nov 9, 2025 · A curated list of specification toolkits (speckits) built with MetaSpec for defining, validating specs and driving AI content generation. - ACNet-AI/awesome-spec-kits

Sep 5, 2020 · Note: The baseline experiments of ACNet are conducted by a self-made training framework. It is not as well-constructed as other training frameworks, e.g. torchdrug.

This study proposes a novel deep learning-based vessel trajectory prediction framework for AIS data using Auxiliary tasks and Convolutional encoders (AIS-ACNet).

For an off-the-shelf architecture, we replace the standard square-kernel convolutional layers with ACBs to construct an Asymmetric Convolutional Network (ACNet), which can be trained to …

For an off-the-shelf architecture, we replace the standard square-kernel convolutional layers with ACBs to construct an Asymmetric Convolutional Network (ACNet), which can be trained to …