Papers with Code 아카이브

Semantic Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

29

평가표

150

보존된 평가 기록

1,918

코드

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

https://github.com/ORippler/MSD_2018

공식 코드

AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018

https://github.com/OSU-Haolin/Pedestrian_Crossing_Intention_Prediction

공식 코드

Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio-Temporal Attention

https://github.com/Omid-Nejati/Dilated_Unet

공식 코드

Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecture

https://github.com/OmidPoursaeed/Generative_Adversarial_Perturbations

공식 코드

Generative Adversarial Perturbations

https://github.com/OmkarThawakar/MSSTS-VIS

공식 코드

Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer

https://github.com/OpenGVLab/M3I-Pretraining

공식 코드

Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information

https://github.com/OpenGVLab/PonderV2

공식 코드

PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm

https://github.com/OpenGVLab/SAM-Med2D

공식 코드

SAM-Med2D

https://github.com/OpenMask3D/openmask3d

공식 코드

OpenMask3D: Open-Vocabulary 3D Instance Segmentation

https://github.com/PJLallen/InstanceSAM2Eval

공식 코드

Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation

https://github.com/PKU-YuanGroup/LLMBind

공식 코드

LLMBind: A Unified Modality-Task Integration Framework

https://github.com/PKUbahuangliuhe/CBNet

공식 코드

CBNet: A Novel Composite Backbone Network Architecture for Object Detection

https://github.com/POSTECH-CVLab/FastPointTransformer

공식 코드

Fast Point Transformer

https://github.com/PPOLYpubki/RD3D

공식 코드

RGB-D Salient Object Detection via 3D Convolutional Neural Networks

https://github.com/PRBonn/bonnet

공식 코드

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs

https://github.com/PRBonn/semantic-kitti-api

공식 코드

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

https://github.com/PaddlePaddle/PaddleClas

공식 코드

HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network

https://github.com/PaddlePaddle/PaddleSeg

공식 코드

PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation

https://github.com/Pang-Yatian/Point-MAE

공식 코드

Masked Autoencoders for Point Cloud Self-supervised Learning

https://github.com/PedroRASB/ISNet

공식 코드

Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization

https://github.com/PeikeLi/Self-Correction-Human-Parsing

공식 코드

Self-Correction for Human Parsing

https://github.com/Peilun-Li/SG-GAN

공식 코드

Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption

https://github.com/Pele324/ChronicWoundSeg

공식 코드

Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks

https://github.com/PengyiZhang/ACCL

공식 코드

ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation

https://github.com/PerForm-Lab-RIT/domain-adaptation-eye-tracking

공식 코드

Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems

https://github.com/Picsart-AI-Research/SeMask-Segmentation

공식 코드

SeMask: Semantically Masked Transformers for Semantic Segmentation

https://github.com/PierfrancescoArdino/SGINet

공식 코드

Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation

https://github.com/PingoLH/Pytorch-HarDNet

공식 코드

HarDNet: A Low Memory Traffic Network

https://github.com/Pixie8888/R3DFSSeg

공식 코드

Towards Robust Few-shot Point Cloud Semantic Segmentation

https://github.com/PkuRainBow/OCNet

공식 코드

OCNet: Object Context Network for Scene Parsing

https://github.com/PkuRainBow/OCNet.pytorch

공식 코드

OCNet: Object Context Network for Scene Parsing

https://github.com/Pointcept/OpenIns3D

공식 코드

OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation

https://github.com/Pointcept/PointTransformerV2

공식 코드

Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

https://github.com/Pointcept/Pointcept

공식 코드

Point Transformer

https://github.com/PotatoTian/recall-semseg

공식 코드

Striking the Right Balance: Recall Loss for Semantic Segmentation

https://github.com/Powertony102/corn_official

공식 코드

Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.