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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
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes0
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation0
A-Eye: Driving with the Eyes of AI for Corner Case Generation0
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous DrivingCode1
Rethinking Dilated Convolution for Real-time Semantic SegmentationCode1
Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic SegmentationCode1
FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic SegmentationCode1
FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic SegmentationCode1
AASeg: Attention Aware Network for Real Time Semantic Segmentation0
Real Time Egocentric Object Segmentation: THU-READ Labeling and Benchmarking Results0
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation0
Feature Reuse and Fusion for Real-time Semantic segmentationCode0
Rethinking BiSeNet For Real-time Semantic SegmentationCode1
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and ColonoscopyCode1
A De-raining semantic segmentation network for real-time foreground segmentationCode1
Lite-HRNet: A Lightweight High-Resolution NetworkCode1
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data0
MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation0
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic SegmentationCode1
Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired0
Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation0
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationCode1
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time SegmentationCode1
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