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/GothicAi/InstaBoost

공식 코드

InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting

https://github.com/GreenAutoML4FAS/UncertainSAM

공식 코드

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model

https://github.com/Gsunshine/Enjoy-Hamburger

공식 코드

Is Attention Better Than Matrix Decomposition?

https://github.com/GuanRunwei/Achelous

공식 코드

Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities

https://github.com/GuanRunwei/Efficient-VRNet

공식 코드

ASY-VRNet: Waterway Panoptic Driving Perception Model based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar

https://github.com/Gumpest/AvatarKD

공식 코드

Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty

https://github.com/Guo-Xiaoqing/BraTS_OS

공식 코드

Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction

https://github.com/GuoleiSun/CountSeg

공식 코드

Object Counting and Instance Segmentation with Image-level Supervision

https://github.com/GuoleiSun/MCIS_wsss

공식 코드

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

https://github.com/Guzaiwang/CE-Net

공식 코드

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

https://github.com/HAL-42/FMA-WSSS

공식 코드

Foundation Model Assisted Weakly Supervised Semantic Segmentation

https://github.com/HCPLab-SYSU/ATEN

공식 코드

Adaptive Temporal Encoding Network for Video Instance-level Human Parsing

https://github.com/HDETR/H-Deformable-DETR

공식 코드

DETRs with Hybrid Matching

https://github.com/HDETR/H-Deformable-DETR-mmdet

공식 코드

DETRs with Hybrid Matching

https://github.com/HDETR/H-Detic-LVIS

공식 코드

DETRs with Hybrid Matching

https://github.com/HDETR/H-PETR-3D

공식 코드

DETRs with Hybrid Matching

https://github.com/HDETR/H-PETR-Pose

공식 코드

DETRs with Hybrid Matching

https://github.com/HEPIUSLAB/ultrasound_spinal_cord_dataset

공식 코드

A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation

https://github.com/HIK-LAB/Unsupervised-Image-Classification

공식 코드

Unsupervised Image Classification for Deep Representation Learning

https://github.com/HKUST-Aerial-Robotics/FM-Fusion

공식 코드

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

https://github.com/HKUSTCV/FSS-1000

공식 코드

FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation

https://github.com/HRNet/HRFormer

공식 코드

HRFormer: High-Resolution Transformer for Dense Prediction

https://github.com/HRNet/HRNet-Semantic-Segmentation

공식 코드

Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

https://github.com/HRNet/Lite-HRNet

공식 코드

Lite-HRNet: A Lightweight High-Resolution Network

https://github.com/HUANGLIZI/ScribFormer

공식 코드

ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation

https://github.com/HYOJINPARK/ExtPortraitSeg

공식 코드

ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules

https://github.com/HYOJINPARK/Reuse_VOS

공식 코드

Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation

https://github.com/HYOJINPARK/TTVOS

공식 코드

TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss

https://github.com/HaberGroup/SemiImplicitDNNs

공식 코드

IMEXnet: A Forward Stable Deep Neural Network

https://github.com/Halmstad-University/TITAN-NET

공식 코드

Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images

https://github.com/HannahHaensen/pyfu

공식 코드

Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic Segmentation

https://github.com/HaoZheng94/Ensemble

공식 코드

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation

https://github.com/Haochen-Wang409/U2PL

공식 코드

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

https://github.com/HaochengWan/PVT

공식 코드

PVT: Point-Voxel Transformer for Point Cloud Learning

https://github.com/HealthML/self-supervised-3d-tasks

공식 코드

3D Self-Supervised Methods for Medical Imaging

https://github.com/HealthX-Lab/HGI-SAM

공식 코드

Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning

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