Papers with Code 아카이브

Semantic Segmentation

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하위 태스크

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150

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1,918

코드

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

https://github.com/iml-dkfz/values

공식 코드

ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation

https://github.com/immortalco/pointtree

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PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees

https://github.com/immuno121/als4gan

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Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images

https://github.com/imop-lab/defn-pytorch

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DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object Segmentation

https://github.com/impl-lab/ial

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How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation

https://github.com/implus/RecursiveMix-pytorch

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RecursiveMix: Mixed Learning with History

https://github.com/importzl/blo-sam

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BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM

https://github.com/importzl/semantic_segmentation

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Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes

https://github.com/imrl/pathfinder

공식 코드

Pathfinder for Low-altitude Aircraft with Binary Neural Network

https://github.com/imsy-dkfz/htc

공식 코드

Robust deep learning-based semantic organ segmentation in hyperspectral images

https://github.com/infzhou/sam-pd

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SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising

https://github.com/innovator-zero/MTDP_Lib

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Prompt Guided Transformer for Multi-Task Dense Prediction

https://github.com/insomnia94/FTMU

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Fast Template Matching and Update for Video Object Tracking and Segmentation

https://github.com/instanseg/instanseg

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InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation

https://github.com/intact-project/LungNet

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Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks

https://github.com/intcomp/camouflaged-vlm

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Open-Vocabulary Camouflaged Object Segmentation with Cascaded Vision Language Models

https://github.com/interpretty/ammunet

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AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image Segmentation

https://github.com/ipic-lab/irsam

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IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection

https://github.com/ipmi-nwu/helpnet

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HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image Segmentation

https://github.com/irfanICMLL/structure_knowledge_distillation

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Structured Knowledge Distillation for Dense Prediction

https://github.com/irikos/rip_currents

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Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results

https://github.com/irmvlab/point-mamba

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Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy

https://github.com/irmvlab/sfcnet

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Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation

https://github.com/isaaccorley/chesapeakersc

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Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery

https://github.com/isahhin/cvabs

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CVABS: Moving Object Segmentation with Common Vector Approach for Videos

https://github.com/isbrycee/t-mamba

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T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation

https://github.com/isee-laboratory/referdino-plus

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ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025

https://github.com/iset/isethdrsensor

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ISETHDR: A Physics-based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes

https://github.com/isl-org/lang-seg

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Language-driven Semantic Segmentation

https://github.com/islamamirul/permutenet

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Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs

https://github.com/ispamm/phbreast

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Multi-View Hypercomplex Learning for Breast Cancer Screening

https://github.com/ispgroupucl/deepsportlab

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DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes

https://github.com/isunLt/IUPC

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Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning

https://github.com/isunchy/3d_instance_segmentation

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Semantic Segmentation-Assisted Instance Feature Fusion for Multi-Level 3D Part Instance Segmentation

https://github.com/isunchy/semi_supervised_3d_segmentation

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Semi-supervised 3D shape segmentation with multilevel consistency and part substitution

https://github.com/itijyou/ademxapp

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Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

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