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Segmentation

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코드

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

https://github.com/GengDavid/CyCTR

공식 코드

Few-Shot Segmentation via Cycle-Consistent Transformer

https://github.com/GeoAI-Research-Lab/PCTFusion

공식 코드

pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation

https://github.com/GeoX-Lab/G-RSIM

공식 코드

Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

https://github.com/GewelsJI/FSNet

공식 코드

Full-Duplex Strategy for Video Object Segmentation

https://github.com/GewelsJI/PNS-Net

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Video Polyp Segmentation: A Deep Learning Perspective

https://github.com/GityuxiLiu/Region-Adaptive-Transform-with-Segmentation-Prior-for-Image-Compression

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Region-Adaptive Transform with Segmentation Prior for Image Compression

https://github.com/GiuliaDAngelo/Speckegomotion

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Wandering around: A bioinspired approach to visual attention through object motion sensitivity

https://github.com/Global-Ecosystem-Health-Observatory/TreeMort

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Dual-Task Learning for Dead Tree Detection and Segmentation with Hybrid Self-Attention U-Nets in Aerial Imagery

https://github.com/GothicAi/InstaBoost

공식 코드

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

https://github.com/GuanRunwei/Achelous

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Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar

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

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

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

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Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction

https://github.com/Guo-Xiaoqing/Skin-Seg

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Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation

https://github.com/GuoleiSun/MCIS_wsss

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Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

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

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

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

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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/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/HKUST-Aerial-Robotics/FM-Fusion

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

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

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

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

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Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

https://github.com/HUANGLIZI/ScribFormer

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

https://github.com/HYOJINPARK/ExtPortraitSeg

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

https://github.com/HYOJINPARK/Reuse_VOS

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

https://github.com/HZAI-ZJNU/SCSA

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SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention

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

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

https://github.com/HannahHaensen/pyfu

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

https://github.com/HanningChen/VLTP

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VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation

https://github.com/HanseonJoo/Habaek

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Habaek: High-performance water segmentation through dataset expansion and inductive bias optimization

https://github.com/HaoZheng94/Ensemble

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A New Ensemble Learning Framework for 3D Biomedical Image Segmentation

https://github.com/HealthX-Lab/DiffusionSynCTSeg

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CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

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

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

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

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MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

https://github.com/HeliosZhao/NCDSS

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Novel Class Discovery in Semantic Segmentation

https://github.com/Heye-SYSU/AHDC

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Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data

https://github.com/Hhhhhhhhhhao/Thin-Structure-Inpainting

공식 코드

Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning

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