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Real-Time Semantic Segmentation

Semantic Segmentation is a computer vision task that involves assigning a semantic label to each pixel in an image. In Real-Time Semantic Segmentation, the goal is to perform this labeling quickly and accurately in real-time, allowing for the segmentation results to be used for tasks such as object recognition, scene understanding, and autonomous navigation.

( Image credit: TorchSeg )

Papers

Showing 5175 of 145 papers

TitleStatusHype
Pyramid Scene Parsing NetworkCode1
ENet: A Deep Neural Network Architecture for Real-Time Semantic SegmentationCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
Real-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows0
ContextFormer: Redefining Efficiency in Semantic Segmentation0
Efficient Semantic Segmentation via Lightweight Multiple-Information Interaction Network0
ICFRNet: Image Complexity Prior Guided Feature Refinement for Real-time Semantic Segmentation0
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields0
Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation NetworkCode0
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation0
P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic SegmentationCode0
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing0
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild0
Cross-CBAM: A Lightweight network for Scene Segmentation0
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentationCode0
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search0
Efficient Semantic Segmentation on Edge Devices0
Uncertainty in Real-Time Semantic Segmentation on Embedded SystemsCode0
DWRSeg: Rethinking Efficient Acquisition of Multi-scale Contextual Information for Real-time Semantic Segmentation0
Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse WeatherCode0
MFNet: Multi-Feature Fusion Network for Real-Time Semantic Segmentation in Road ScenesCode0
RTFormer: Efficient Design for Real-Time Semantic Segmentation with TransformerCode0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
Deep Learning on Home Drone: Searching for the Optimal ArchitectureCode0
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation0
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