The proposed algorithm achieves a segmentation accuracy of 69.6% and speed of 70 fps on the Cityscapes dataset, with a model parameter count of only 0.76 M, ...
The proposed algorithm achieves a segmentation accuracy of 69.6% and speed of 70 fps on the Cityscapes dataset, with a model parameter count of only 0.76 M, ...
We propose a Multi-scale Spatial Pyramid Pooling Network (MSPPNet), a lightweight and efficient network for real-time semantic segmentation.
This paper proposes a lightweight bilateral asymmetric residual network (LBARNet) for real-time semantic segmentation.
Sep 16, 2024 · In order to achieve real-time performance, the deeper and lower-resolution branches were used to perceive context and provide category ...
The proposed algorithm achieves a segmentation accuracy of 69.6% and speed of 70 fps on the Cityscapes dataset, with a model parameter count of only 0.76 M, ...
Inspired by the structure of residuals, we propose a lightweight network, based on the modified BiSeNet V2 model, termed the Bilateral Residual Network (BRNet).
A lightweight decoder for real-time semantic segmentation
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In this paper, we propose a novel lightweight and efficient decoder structure called bilateral attention decoder for real-time semantic segmentation.
Nov 6, 2023 · This paper proposes a new two-branch network to address the pixel loss problem when fusing features from different layers.
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Bilateral Network with Residual U-blocks and Dual-Guided ... Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN.