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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 131140 of 145 papers

TitleStatusHype
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial LearningCode0
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based TasksCode0
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric AnnotationsCode0
MFNet: Multi-Feature Fusion Network for Real-Time Semantic Segmentation in Road ScenesCode0
FasterSeg: Searching for Faster Real-time Semantic SegmentationCode0
RITnet: Real-time Semantic Segmentation of the Eye for Gaze TrackingCode0
DFANet: Deep Feature Aggregation for Real-Time Semantic SegmentationCode0
Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation NetworkCode0
ShelfNet for Fast Semantic SegmentationCode0
DiCENet: Dimension-wise Convolutions for Efficient NetworksCode0
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