Papers with Code 아카이브

2D Semantic Segmentation

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하위 태스크

17

평가표

11

보존된 평가 기록

42

코드

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

https://github.com/niessner/Matterport

공식 코드

Matterport3D: Learning from RGB-D Data in Indoor Environments

https://github.com/nifangbaage/explicit-visual-prompt

공식 코드

Explicit Visual Prompting for Low-Level Structure Segmentations

https://github.com/nik-dim/pamal

공식 코드

Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models

https://github.com/nik-v9/airobject

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AirObject: A Temporally Evolving Graph Embedding for Object Identification

https://github.com/nikhilroxtomar/fanet

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FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

https://github.com/niko-k98/awesome-list-federated-learning-review

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Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation

https://github.com/niloide/implicit_segmentation

공식 코드

NISF: Neural Implicit Segmentation Functions

https://github.com/nina-weng/shortcut_skinseg

공식 코드

Shortcut Learning in Medical Image Segmentation

https://github.com/nitr098/attswinunet

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Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation

https://github.com/nitr098/awesome-u-net

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Medical Image Segmentation Review: The success of U-Net

https://github.com/nka77/dahitra

공식 코드

Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite Images

https://github.com/nki-radiology/interpretability_augmentation

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Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data

https://github.com/nkicsl/sf-unet

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Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation

https://github.com/nobodyplayer1/vm-unetv2

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VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation

https://github.com/nomewang/mcf

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Toward High Quality Facial Representation Learning

https://github.com/nomiaro/OPA

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Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection

https://github.com/notmatthancock/level-set-machine-learning

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Level set image segmentation with velocity term learned from data with applications to lung nodule segmentation

https://github.com/noureddinekhiati/semi-supervised-lung-segmentation

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Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentation

https://github.com/novicefodder/os-medseg

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Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation

https://github.com/nspunn1993/bt-unet

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BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models

https://github.com/nstucki/betti-matching

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Topologically faithful image segmentation via induced matching of persistence barcodes

https://github.com/ntnu-smallsat-lab/s_l_c_segm_hyp_img

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Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning

https://github.com/nubagcilab/diffboost

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DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model

https://github.com/numisveinsson/SeqSeg

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SeqSeg: Learning Local Segments for Automatic Vascular Model Construction

https://github.com/nus-tim/dems

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Segmenting Medical Images with Limited Data

https://github.com/nust-machine-intelligence-laboratory/hcpn

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Co-attention Propagation Network for Zero-Shot Video Object Segmentation

https://github.com/nust-machine-intelligence-laboratory/hgpu

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Hierarchical Graph Pattern Understanding for Zero-Shot VOS

https://github.com/nust-machine-intelligence-laboratory/hpan

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Holistic Prototype Attention Network for Few-Shot VOS

https://github.com/nust-machine-intelligence-laboratory/hvc

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Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation

https://github.com/nust-machine-intelligence-laboratory/videomac

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VideoMAC: Video Masked Autoencoders Meet ConvNets

https://github.com/nv-tlabs/atiss

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ATISS: Autoregressive Transformers for Indoor Scene Synthesis

https://github.com/nv-tlabs/datasetGAN_release

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DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

https://github.com/nvakhoa/superclass-fsis

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Instance-level Few-shot Learning with Class Hierarchy Mining

https://github.com/nveldt/SparseCardDSFM

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Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components

https://github.com/nvidia/torch-harmonics

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Attention on the Sphere

https://github.com/oceanhao/CoNav

공식 코드

CoNav: Collaborative Cross-Modal Reasoning for Embodied Navigation

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