Papers with Code 아카이브

Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

5

보존된 평가 기록

6

코드

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

https://github.com/valeoai/obsnet

공식 코드

Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation

https://github.com/valeoai/scalr

공식 코드

Three Pillars improving Vision Foundation Model Distillation for Lidar

https://github.com/valeoai/xmuda

공식 코드

xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

https://github.com/valeriopaolicelli/SegVPR

공식 코드

Learning Semantics for Visual Place Recognition through Multi-Scale Attention

https://github.com/valkyrja3607/maskdiffusion

공식 코드

MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation

https://github.com/valkyrja3607/tag

공식 코드

TAG: Guidance-free Open-Vocabulary Semantic Segmentation

https://github.com/vamzimmer/multitask_seg_placenta

공식 코드

Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View

https://github.com/vanlinlin/auto-wcebleedgen-challenge-version-v2

공식 코드

Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage Model

https://github.com/vatile/CWS-NAACL2019

공식 코드

Improving Cross-Domain Chinese Word Segmentation with Word Embeddings

https://github.com/vbmaq/et-sam

공식 코드

Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)

https://github.com/vcg/ffd4denspineem

공식 코드

Frenet-Serret Frame-based Decomposition for Part Segmentation of 3D Curvilinear Structures

https://github.com/vedranaa/InSegt

공식 코드

Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images

https://github.com/veizgyauzgyauz/fcfi

공식 코드

Focused and Collaborative Feedback Integration for Interactive Image Segmentation

https://github.com/vemundfredriksen/lungtumormask

공식 코드

Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation

https://github.com/verena-hallitschke/pet-ct-annotate

공식 코드

Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues

https://github.com/veronicacorona/multicontrastSegmentation

공식 코드

A multi-contrast MRI approach to thalamus segmentation

https://github.com/vgthengane/climb3d

공식 코드

CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation

https://github.com/vicoslab/mixed-segdec-net-comind2021

공식 코드

End-to-end training of a two-stage neural network for defect detection

https://github.com/victorychain/Adversarial-Policy-Gradient-Augmentation

공식 코드

Adversarial Policy Gradient for Deep Learning Image Augmentation

https://github.com/vietthanh2710/ac-mambaseg

공식 코드

AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation

https://github.com/vinairesearch/3d-ucaps

공식 코드

3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation

https://github.com/vinairesearch/dataset-diffusion

공식 코드

Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation

https://github.com/vinairesearch/gapro

공식 코드

GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers

https://github.com/vinairesearch/geoformer

공식 코드

Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter

https://github.com/vinairesearch/point-unet

공식 코드

Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation

https://github.com/vinbigdata-medical/MIDL2021-VinDr-RibCXR

공식 코드

VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays

https://github.com/vincentzhang/roi-fcn

공식 코드

End-to-end detection-segmentation network with ROI convolution

https://github.com/vinhhust2806/ADSNet

공식 코드

Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation

https://github.com/vinhhust2806/Polyp-SES

공식 코드

Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model

https://github.com/vinloo/u-net-receptive-field-study

공식 코드

Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation

https://github.com/vinuni-vishc/mi-detection-echo

공식 코드

Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography

https://github.com/vios-s/gmt-leaf-ins-seg

공식 코드

GMT: Guided Mask Transformer for Leaf Instance Segmentation

https://github.com/vios-s/multimodal_segmentation

공식 코드

Disentangle, align and fuse for multimodal and semi-supervised image segmentation

https://github.com/vios-s/vmfnet

공식 코드

vMFNet: Compositionality Meets Domain-generalised Segmentation

https://github.com/virgil3706/memory-efficient-u-net

공식 코드

Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images

https://github.com/virginiafdez/brainspade3d_rel

공식 코드

A 3D generative model of pathological multi-modal MR images and segmentations

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