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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 8190 of 145 papers

TitleStatusHype
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial LearningCode0
Real-time Semantic Segmentation with Fast AttentionCode1
Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation0
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation0
Visual Localization Using Semantic Segmentation and Depth Prediction0
Real-time Semantic Segmentation via Spatial-detail Guided Context PropagationCode1
Tamed Warping Network for High-Resolution Semantic Video Segmentation0
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic SegmentationCode2
Temporally Distributed Networks for Fast Video Semantic SegmentationCode1
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation0
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