Papers with Code 아카이브

Segmentation

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보존된 평가 기록

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코드

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

https://github.com/noelshin/zutis

공식 코드

Zero-shot Unsupervised Transfer Instance Segmentation

https://github.com/norlab-ulaval/perceptreev1

공식 코드

Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection

https://github.com/notmahi/clip-fields

공식 코드

CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory

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

공식 코드

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

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

공식 코드

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

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

공식 코드

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

https://github.com/nqnguyen812/mambau-lite

공식 코드

MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation

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

공식 코드

Topologically faithful image segmentation via induced matching of persistence barcodes

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

공식 코드

Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning

https://github.com/nubagcilab/diffboost

공식 코드

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

https://github.com/nubagcilab/icassp2025-fdgpolyp

공식 코드

Frequency-Based Federated Domain Generalization for Polyp Segmentation

https://github.com/nubagcilab/pansegnet

공식 코드

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

https://github.com/nubagcilab/pediatric-brain-tumor-segmentation-model

공식 코드

A New Logic For Pediatric Brain Tumor Segmentation

https://github.com/nubot-nudt/doss

공식 코드

A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data

https://github.com/nubot-nudt/elc-ois

공식 코드

ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data

https://github.com/nubot-nudt/luseg

공식 코드

LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the Lunar

https://github.com/nubot-nudt/segnet4d

공식 코드

SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud

https://github.com/nuclearboy95/Anomaly-Detection-PatchSVDD-PyTorch

공식 코드

Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation

https://github.com/numisveinsson/SeqSeg

공식 코드

SeqSeg: Learning Local Segments for Automatic Vascular Model Construction

https://github.com/nus-cvml/awesome-temporal-action-segmentation

공식 코드

Temporal Action Segmentation: An Analysis of Modern Techniques

https://github.com/nust-machine-intelligence-laboratory/i2crc

공식 코드

Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation

https://github.com/nust-machine-intelligence-laboratory/torchsemiseg2

공식 코드

Semi-Supervised Semantic Segmentation With Region Relevance

https://github.com/nv-dvl/segment-anything-lidar

공식 코드

Better Call SAL: Towards Learning to Segment Anything in Lidar

https://github.com/nveldt/SparseCardDSFM

공식 코드

Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components

https://github.com/nvlabs/3dgm

공식 코드

Memorize What Matters: Emergent Scene Decomposition from Multitraverse

https://github.com/nvlabs/freesolo

공식 코드

FreeSOLO: Learning to Segment Objects without Annotations

https://github.com/nvlabs/gcvit

공식 코드

Global Context Vision Transformers

https://github.com/nvlabs/minvis

공식 코드

MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training

https://github.com/nvlabs/odise

공식 코드

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

https://github.com/nvlabs/semples

공식 코드

Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation

https://github.com/o937-blip/simir

공식 코드

Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection

https://github.com/obeddzik/pca_segment

공식 코드

Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images

https://github.com/ocetintas/mpntrackseg

공식 코드

Multi-Object Tracking and Segmentation via Neural Message Passing

https://github.com/oesteban/MBIS

공식 코드

MBIS: Multivariate Bayesian Image Segmentation Tool

https://github.com/oliverjm1/bmvc_menisc_seg

공식 코드

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance

https://github.com/olivesgatech/implicit-background-estimation

공식 코드

Implicit Background Estimation for Semantic Segmentation

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