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Real-Time Semantic Segmentation
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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.
<span style="color:grey; opacity: 0.6">( Image credit: TorchSeg )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Real-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows
Golden Cudgel Network for Real-Time Semantic Segmentation
ContextFormer: Redefining Efficiency in Semantic Segmentation
Efficient Semantic Segmentation via Lightweight Multiple-Information Interaction Network
ICFRNet: Image Complexity Prior Guided Feature Refinement for Real-time Semantic Segmentation
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes
Reparameterizable Dual-Resolution Network for Real-time Semantic Segmentation
PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery
DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images
Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation Network
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation
Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots
Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation
P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation
AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic Segmentation
Spatial-Assistant Encoder-Decoder Network for Real Time Semantic Segmentation
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild
Cross-CBAM: A Lightweight network for Scene Segmentation
JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded Systems
Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown Environments
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation
Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search
Efficient Semantic Segmentation on Edge Devices
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems
DWRSeg: Rethinking Efficient Acquisition of Multi-scale Contextual Information for Real-time Semantic Segmentation
Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather
MFNet: Multi-Feature Fusion Network for Real-Time Semantic Segmentation in Road Scenes
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task Consistency
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.