DSANet: Dilated Spatial Attention for Real-time Semantic Segmentation in Urban Street Scenes
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Updated
May 22, 2022 - Python
DSANet: Dilated Spatial Attention for Real-time Semantic Segmentation in Urban Street Scenes
[ICIP2022] Entropy guided feature extraction for real time semantic segmentation
This repository contains research on real-time domain adaptation in semantic segmentation, aiming at bridging the gap between synthetic and real-world imagery for urban scenes and autonomous driving, utilizing STDC models and advanced domain adaptation methods.
Project for the Advanced Machine Learning course 23/24 - Politecnico di Torino
🏀 BasketballDetector implementation using a segmentation approach
Oil Pollution Dataset and PIDNet
A class-based styling approach for Real-time Domain Adaptation in Semantic Segmentation
BiSeNetV2 implementation in TensorFlow 2.0
Implement a model of real-time semantic segmentation for autonomous driving
First implementation of PIDNet in Tensorflow/Keras.
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
Official implementation of TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing (MIDL 2022)
ERF-PSPNET implemented by tensorflow
Pytorch code of Sequential/Hierarchical ERFNet with PSPNet for real-time semantic segmentation
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation
Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
This is the official repository for our recent work: PIDNet
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