Papers with Code 아카이브

Segmentation

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코드

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

https://github.com/vribeiro1/skin-lesion-segmentation-agreement

공식 코드

Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation

https://github.com/vsydorskyy/hubmap_2022_htt_solution

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Semi-Supervised Segmentation of Functional Tissue Units at the Cellular Level

https://github.com/vujas-eteph/lazyxmem

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Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation

https://github.com/vuptran/cardiac-segmentation

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A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI

https://github.com/vvvb-github/avsegformer

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AVSegFormer: Audio-Visual Segmentation with Transformer

https://github.com/w1oves/dtp

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Disentangle then Parse:Night-time Semantic Segmentation with Illumination Disentanglement

https://github.com/w1zheng/insteacher3d

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Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation

https://github.com/wang-chaoyang/semflow

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SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow

https://github.com/wang-zidu/3ddfa-v3

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3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation

https://github.com/wangangcheng/lora-pt

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LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors

https://github.com/wangbo-zhao/2022cvpr-mmmmtbvs

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Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation

https://github.com/wangchi95/active-boundary-loss

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Active Boundary Loss for Semantic Segmentation

https://github.com/wangf3014/cp2

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CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation

https://github.com/wangf3014/sclip

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SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference

https://github.com/wanghao9610/TMANet

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Temporal Memory Attention for Video Semantic Segmentation

https://github.com/wangjuan313/cdrnet

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CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography Using Deep Learning

https://github.com/wangjuan313/wsis-beyond-tightbb

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Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations

https://github.com/wangjuan313/wsis-polartransform

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Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations

https://github.com/wangjunchi/llmseg

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LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning

https://github.com/wangkaiwan/hecktor-2022-airt

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Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers

https://github.com/wangli100209/PDPNet

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Progressive Dual Priori Network for Generalized Breast Tumor Segmentation

https://github.com/wangn123/missu

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MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet

https://github.com/wangqixun/mfpsg

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1st Place Solution for PSG competition with ECCV'22 SenseHuman Workshop

https://github.com/wangshanwen001/rs-muca

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Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention

https://github.com/wangsr126/RDSNet

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RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation

https://github.com/wangsssky/sonarsam

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When SAM Meets Sonar Images

https://github.com/wangyi111/international-archaeology-ai-challenge

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Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection

https://github.com/wangys16/gov-nesf

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GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields

https://github.com/wangyunpengbio/x-recon

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X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray Images

https://github.com/wangzy22/SemAffiNet

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SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation

https://github.com/wangzy22/xmask3d

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XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation

https://github.com/warmspringwinds/segmentation_in_style

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Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP

https://github.com/warmspringwinds/tf-image-segmentation

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Deep Residual Learning for Instrument Segmentation in Robotic Surgery

https://github.com/warnikchow/raws

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Giving Space to Your Message: Assistive Word Segmentation for the Electronic Typing of Digital Minorities

https://github.com/wasidennis/AdaptSegNet

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Learning to Adapt Structured Output Space for Semantic Segmentation

https://github.com/wasserth/totalsegmentator

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TotalSegmentator: robust segmentation of 104 anatomical structures in CT images

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