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/huanglizi/stpnet

공식 코드

STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation

https://github.com/huanglizi/tfcns

공식 코드

TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation

https://github.com/huangmozhilv/u2net_torch

공식 코드

3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation

https://github.com/huangyjhust/3D-RU-Net

공식 코드

3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation

https://github.com/hugo-oliveira/fsws_metalearning

공식 코드

Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation

https://github.com/hui-po-wang/progfed

공식 코드

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

https://github.com/huiimin5/aua

공식 코드

Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation

https://github.com/huiimin5/comwin

공식 코드

Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation

https://github.com/huixiancheng/cenet

공식 코드

CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving

https://github.com/hukenovs/easyportrait

공식 코드

EasyPortrait -- Face Parsing and Portrait Segmentation Dataset

https://github.com/hust-linyi/cat-net

공식 코드

Few Shot Medical Image Segmentation with Cross Attention Transformer

https://github.com/hust-linyi/seg_trick

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Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions

https://github.com/hustvl/maskadapter

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Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation

https://github.com/hustvl/senna

공식 코드

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

https://github.com/hustxyy/fedia

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FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness

https://github.com/huuquan1994/wsi_glomerulus_seg

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A General Pipeline for Glomerulus Whole-Slide Image Segmentation

https://github.com/huyquoctrinh/PEFNet

공식 코드

Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation

https://github.com/hvcl/ScribbleCont

공식 코드

Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization

https://github.com/hvision-nku/maskclippp

공식 코드

MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image Segmentation

https://github.com/hwansoo-choi/cognitive-transfuser

공식 코드

Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction

https://github.com/hwei-hw/generalist_vision_foundation_models_for_medical_imaging

공식 코드

Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation

https://github.com/hy0523/mtnet

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Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation

https://github.com/hydragon516/dpa

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Dual Prototype Attention for Unsupervised Video Object Segmentation

https://github.com/hydragon516/gsanet

공식 코드

Guided Slot Attention for Unsupervised Video Object Segmentation

https://github.com/hydropml/disasternets

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DisasterNets: Embedding Machine Learning in Disaster Mapping

https://github.com/hysonlab/tesgraph

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TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding

https://github.com/hyunwoo137/metaseg

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MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation

https://github.com/hzxie/RMNet

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Efficient Regional Memory Network for Video Object Segmentation

https://github.com/iamjackyan/fed-lwr

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A New Perspective to Boost Performance Fairness for Medical Federated Learning

https://github.com/iantsen/hecktor

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Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images

https://github.com/ibm/multimodal-3d-image-segmentation

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FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator

https://github.com/ibrain-lab/pingu

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Perivascular space Identification Nnunet for Generalised Usage (PINGU)

https://github.com/ibug-group/fpage

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FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

https://github.com/icemansina/LSTM-CF

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LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling

https://github.com/icitylab/hspr

공식 코드

Hierarchical Spatial Proximity Reasoning for Vision-and-Language Navigation

https://github.com/icsc-spoke2-repo/fastextendedvision-deepcluster

공식 코드

Datacube segmentation via Deep Spectral Clustering

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