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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/ux-decoder/semantic-sam

공식 코드

Semantic-SAM: Segment and Recognize Anything at Any Granularity

https://github.com/v7labs/xmem_icl

공식 코드

Flexible visual prompts for in-context learning in computer vision

https://github.com/vamzimmer/multitask_seg_placenta

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

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

공식 코드

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

https://github.com/vedranaa/InSegt

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

https://github.com/veizgyauzgyauz/fcfi

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Focused and Collaborative Feedback Integration for Interactive Image Segmentation

https://github.com/veronicacorona/multicontrastSegmentation

공식 코드

A multi-contrast MRI approach to thalamus segmentation

https://github.com/vibashan/tt-sfuda

공식 코드

Target and Task specific Source-Free Domain Adaptive Image Segmentation

https://github.com/vikiehm/matrix-valued-shortest-paths

공식 코드

Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis

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

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

https://github.com/vinairesearch/geoformer

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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/vincentblot28/multiaccurate-cp

공식 코드

Automatically Adaptive Conformal Risk Control

https://github.com/vinhhust2806/ADSNet

공식 코드

Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation

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

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

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

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Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

https://github.com/vios-s/diff-scm

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What is Healthy? Generative Counterfactual Diffusion for Lesion Localization

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

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Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images

https://github.com/virusdoll/active-negative-loss

공식 코드

Active Negative Loss: A Robust Framework for Learning with Noisy Labels

https://github.com/vision-agh/mt_kria

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Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGA

https://github.com/vison307/hisynseg

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HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization

https://github.com/vivaansinghvi07/smoky-mountain-data-comp

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High-Throughput Phenotyping using Computer Vision and Machine Learning

https://github.com/vjwq/egogan

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Generative Adversarial Network for Future Hand Segmentation from Egocentric Video

https://github.com/vkola-lab/unaah

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U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations

https://github.com/vlbthambawita/divergent-nets

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DivergentNets: Medical Image Segmentation by Network Ensemble

https://github.com/vlbthambawita/pyra-pytorch

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Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus

https://github.com/vlbthambawita/singan-seg-polyp

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SinGAN-Seg: Synthetic training data generation for medical image segmentation

https://github.com/vobecant/DriveAndSegment

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Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation

https://github.com/vonguyenleduy/dnn_representation_selective_inference

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Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference

https://github.com/vonguyenleduy/dnn_segmentation_selective_inference

공식 코드

Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference

https://github.com/vpulab/med-sam-brain

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GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data

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

공식 코드

Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation

https://github.com/wall-facer-liuyu/bo-qsa

공식 코드

Improving Object-centric Learning with Query Optimization

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

공식 코드

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

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