LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
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DecoderReal-Time Semantic SegmentationSegmentationSemantic SegmentationSimilar Papers 제목 키워드 기반
Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation
The encoder–decoder structure has been introduced into semantic segmentation to improve the spatial accuracy of the network by fusing high- and low-level feature maps. However, recent state-of-the-art encoder–decoder-bas…
DecoderReal-Time Semantic SegmentationSegmentationSemantic SegmentationAttention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments
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DecoderCLAP Convolutional Lightweight Autoencoder for Plant Disease Classification
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LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis
Recent work has shown that neural networks can perform 3D tasks such as Novel View Synthesis (NVS) without explicit 3D reconstruction. Even so, we argue that strong 3D inductive biases are still helpful in the design of …
Novel View Synthesis3D ReconstructionCD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features
Clouds in remote sensing images inevitably affect information extraction, which hinder the following analysis of satellite images. Hence, cloud detection is a necessary preprocessing procedure. However, the existing meth…
Cloud DetectionDecoder