Encoder-Decoder: Features Extraction | by Kainat - Medium
Aug 12, 2023 · Convolutional layers apply a set of learnable filters to the input image, capturing different features and patterns. Each filter detects specific visual features, such as edges, …
Innovative approaches in image processing: enhancing feature extraction ...
Feb 27, 2025 · The DenseNet encoder extracts feature information from the formula image. The MSR module addresses the loss of detailed features caused by downsampling operations in …
CUFD: An encoder–decoder network for visible and infrared image …
Apr 1, 2022 · In this paper, we propose a novel method for visible and infrared image fusion by decomposing feature information, which is termed as CUFD. It adopts two pairs of …
A feature enhancement network based on image partitioning in a …
Feb 28, 2025 · Through the strategy of image partitioning, the accuracy of semantic segmentation has been enhanced. The "Dual Encoder – Quad Decoder" architecture with partitioning …
An improved multi-scale feature extraction network for medical image …
In the encoder stage, the input image first undergoes feature extraction via Res2Net blocks using 3×3 convolutional kernels. Following each convolution, a maximum-pooling layer is applied to …
A Highly Robust Encoder–Decoder Network with Multi-Scale Feature …
Feb 10, 2025 · Image denoising is crucial for correcting distortions caused by environmental factors and technical limitations. We propose a novel and highly robust encoder–decoder …
Efficient and Discriminative Image Feature Extraction for …
2 days ago · Recognizing that the universal capabilities of retrieval systems depend on the image representation, this study delves into the realm of universal feature extraction. Therefore, the …
DSIT UNet a dual stream iterative transformer based UNet
3 days ago · Dual-stream encoder architecture: We propose a novel encoder that leverages both even and odd kernel convolutions for enhanced multi-scale feature extraction. Even kernels …
GMDNet: Grouped Encoder-Mixer-Decoder Architecture Based …
6 days ago · Although deep learning has significantly advanced brain tumor MRI segmentation and preoperative planning, existing methods like U-Net and Transformer, which are widely …
Decoupled Diffusion Transformers: Accelerating High-Fidelity Image ...
3 days ago · The DDT introduces a condition encoder and a velocity decoder to handle low- and high-frequency components in image generation separately. The encoder extracts semantic …