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/lzh19961031/pdcr_uafr-mis

공식 코드

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation

https://github.com/lzl199704/vis-mae

공식 코드

VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification

https://github.com/lzzcd001/OSLSM

공식 코드

One-Shot Learning for Semantic Segmentation

https://github.com/m-arda-aydn/itaclip

공식 코드

ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements

https://github.com/m2ci-msp/eyetracking-data

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A Multimodal Corpus of Expert Gaze and Behavior during Phonetic Segmentation Tasks

https://github.com/m3dv/diffatlas

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DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

https://github.com/m3dv/ribseg

공식 코드

RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans

https://github.com/ma-lab-berkeley/crate

공식 코드

Emergence of Segmentation with Minimalistic White-Box Transformers

https://github.com/mabulnaga/automatic-placenta-segmentation

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Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series

https://github.com/madeleinedarbyshire/hierarchicalmask2former

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Hierarchical Mask2Former: Panoptic Segmentation of Crops, Weeds and Leaves

https://github.com/mael-zys/coast

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Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation

https://github.com/mafortin/GOUHFI

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GOUHFI: a novel contrast- and resolution-agnostic segmentation tool for Ultra-High Field MRI

https://github.com/maggiebasta/lung-cancer-thesis

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Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks

https://github.com/magic-research/Sa2VA

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Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

https://github.com/majid9418/eresu-net

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Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning

https://github.com/makbari7/DSSLIC

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DSSLIC: Deep Semantic Segmentation-based Layered Image Compression

https://github.com/maloadba/mgenseg_2d

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M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision

https://github.com/malteos/aspect-document-embeddings

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Specialized Document Embeddings for Aspect-based Similarity of Research Papers

https://github.com/mamrehn/interactive_image_segmentation_evaluation

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A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems

https://github.com/manem-lab/lung-ddpm

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Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis

https://github.com/manharsharma007/GI-Tract-Segmentation

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Automated GI tract segmentation using deep learning

https://github.com/mansoorhayat777/attention-ghostunetplusplus

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Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT Images

https://github.com/manueldiaz96/beval

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BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving

https://github.com/manuelknott/banana-defect-segmentation

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Weakly supervised image segmentation for defect-based grading of fresh produce

https://github.com/manuelladron/semantic_based_painting

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Segmentation-Based Parametric Painting

https://github.com/manugar/imagestyletransfer

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Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation

https://github.com/marcdcfischer/punet

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Prompt Tuning for Parameter-efficient Medical Image Segmentation

https://github.com/marcoaversa/diffinfinite

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DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

https://github.com/marian-nmt/marian

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Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task

https://github.com/mariannerakic/tyche

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Tyche: Stochastic In-Context Learning for Medical Image Segmentation

https://github.com/marinbenc/medical-polar-training

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Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images

https://github.com/marionacaros/3d-object-segmentation

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Object Segmentation of Cluttered Airborne LiDAR Point Clouds

https://github.com/marios2019/CSN

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Cross-Shape Attention for Part Segmentation of 3D Point Clouds

https://github.com/mark12ding/sam2long

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SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

https://github.com/marksgraham/transformer-ood

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Transformer-based out-of-distribution detection for clinically safe segmentation

https://github.com/markusschoen/rt-k-net

공식 코드

RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation

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