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Image Segmentation

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하위 태스크: 1
평가표: 13
보존된 평가 기록: 34

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

코드

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

https://github.com/sadjadrz/fusionlungnet

공식 코드

FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation

https://github.com/sagieppel/Generator-evaluator-selector-net-a-modular-approach-for-panoptic-segmentation

공식 코드

Generator evaluator-selector net for panoptic image segmentation and splitting unfamiliar objects into parts

https://github.com/sagieppel/LabPics-medical-Computer-vision-for-liquid-samples-in-hospitals-and-medical-lab-

공식 코드

Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations prediction

https://github.com/sagieppel/Pointer-based-segmentation-find-segment-containing-given-image-point-witin-given-ROI-mask-using-CNN

공식 코드

Class-independent sequential full image segmentation, using a convolutional net that finds a segment within an attention region, given a pointer pixel within this segment

https://github.com/sagieppel/Splitting-unfamiliar-objects-and-stuff-in-images-into-parts-using-neural-nets

공식 코드

Generator evaluator-selector net for panoptic image segmentation and splitting unfamiliar objects into parts

https://github.com/sakaridis/MGCDA

공식 코드

Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

https://github.com/sakibsourav019/streetlight_control_multiclass_segmentation_-camvid-_unet_keras

공식 코드

CNN based Intelligent Streetlight Management Using Smart CCTV Camera and Semantic Segmentation

https://github.com/sakurajimamaiii/protokd

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Prototype Knowledge Distillation for Medical Segmentation with Missing Modality

https://github.com/sakurajimamaiii/tsd

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Feature Alignment and Uniformity for Test Time Adaptation

https://github.com/sampolk/d-vic

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Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images

https://github.com/samra-irshad/3d-boundary-constrained-networks

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Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks

https://github.com/samtzai/tecnalia_weee_hyperspectral_dataset

공식 코드

Hyperspectral Dataset and Deep Learning methods for Waste from Electric and Electronic Equipment Identification (WEEE)

https://github.com/saniaesk/skin-lesion-segmentation

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Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency Modeling

https://github.com/santiago2205/lssqps

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Learning Semantic Segmentation with Query Points Supervision on Aerial Images

https://github.com/sarihust/sammed

공식 코드

Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation

https://github.com/scailab/paser

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Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation

https://github.com/scott-yjyang/hcdg

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HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation

https://github.com/scut-ml-guo/mimo

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Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation Models

https://github.com/seedatnabeel/Uncertainty-Decision-Support-Healthcare

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MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts

https://github.com/segmentationblwx/sssegmentation

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ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation

https://github.com/selgroup/sit-hss

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Hierarchical Superpixel Segmentation via Structural Information Theory

https://github.com/senyh/ucmt

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Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

https://github.com/seonghoon-yu/pseudo-ris

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Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation

https://github.com/seonghoon-yu/zero-shot-ris

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Zero-shot Referring Image Segmentation with Global-Local Context Features

https://github.com/serbanstan/mas3-continual

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Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations

https://github.com/serbanstan/uda-medical-image-segmentation-sfs

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Domain Adaptation for the Segmentation of Confidential Medical Images

https://github.com/seung-lab/abiss

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Large-scale image segmentation based on distributed clustering algorithms

https://github.com/sfu-mial/styleseg

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Segmentation Style Discovery: Application to Skin Lesion Images

https://github.com/sh4174/hypernetensemble

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Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels

https://github.com/sha168/ADNet

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Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels

https://github.com/shahaf-arica/cuvler

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CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers

https://github.com/shahinakk/lg_sdg

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Language Guided Domain Generalized Medical Image Segmentation

https://github.com/shahinakk/lwi-vms

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Learnable Weight Initialization for Volumetric Medical Image Segmentation

https://github.com/shahsohil/sunets

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Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation

https://github.com/shakirsofi/toposeg

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Image Segmentation with Topological Priors

https://github.com/shaoshitong/DiffuseExpand

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DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models

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