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Real-Time Semantic Segmentation

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보존된 평가 기록: 108

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>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/gyyang23/gcnet

공식 코드

Golden Cudgel Network for Real-Time Semantic Segmentation

https://github.com/gyyang23/rdrnet

공식 코드

Reparameterizable Dual-Resolution Network for Real-time Semantic Segmentation

https://github.com/hszhao/ICNet

공식 코드

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

https://github.com/hszhao/PSPNet

공식 코드

Pyramid Scene Parsing Network

https://github.com/iviplab/letnet

공식 코드

Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN

https://github.com/juntang-zhuang/ShelfNet

공식 코드

ShelfNet for Fast Semantic Segmentation

https://github.com/juntang-zhuang/ShelfNet-lw-cityscapes

공식 코드

ShelfNet for Fast Semantic Segmentation

https://github.com/kav-institute/semanticlidar

공식 코드

Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans

https://github.com/likelidoa/bidganet

공식 코드

Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation

https://github.com/lxtGH/SFSegNets

공식 코드

Semantic Flow for Fast and Accurate Scene Parsing

https://github.com/matrixgame2018/FEANet

공식 코드

FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation

https://github.com/mmontielpz/jetseg

공식 코드

JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded Systems

https://github.com/mobarakol/Surgical_Instruments_Segmentation

공식 코드

Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning

https://github.com/mohamedac29/P2AT

공식 코드

P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation

https://github.com/mohamedac29/s2-fpn

공식 코드

S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation

https://github.com/nailperry-zd/paddleseg-trianglenet

공식 코드

TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task Consistency

https://github.com/nikhilroxtomar/DDANet

공식 코드

DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

https://github.com/orsic/swiftnet

공식 코드

In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images

https://github.com/pardistaghavi/swinmtl

공식 코드

SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images

https://github.com/retis-ai/semsegadvpatch

공식 코드

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving

https://github.com/romainloiseau/Helix4D

공식 코드

Online Segmentation of LiDAR Sequences: Dataset and Algorithm

https://github.com/sacmehta/ESPNet

공식 코드

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

https://github.com/sacmehta/EdgeNets

공식 코드

ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network

https://github.com/shangweihung/LDFNet

공식 코드

Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic Segmentation

https://github.com/shaoyuanlo/EDANet

공식 코드

Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation

https://github.com/sj-li/minet

공식 코드

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform

https://github.com/takaniwa/dsnet

공식 코드

DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation

https://github.com/tamu-edu-students/hypertools

공식 코드

Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown Environments

https://github.com/taveraantonio/rtda

공식 코드

Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation

https://github.com/thomasverelst/segblocks-segmentation-pytorch

공식 코드

SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation

https://github.com/torrvision/crfasrnn

공식 코드

Conditional Random Fields as Recurrent Neural Networks

https://github.com/tynguyen/MAVNet

공식 코드

MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks

https://github.com/visual-attention-network/segnext

공식 코드

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

https://github.com/whu-usi3dv/mobile-seed

공식 코드

Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots

https://github.com/xzz777/sctnet

공식 코드

SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation

https://github.com/yanhua-zhang/mfaranet

공식 코드

Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation Network

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