Papers with Code 아카이브

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/ternaus/TernausNet

공식 코드

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation

https://github.com/tfboys-lzz/mpscl

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Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

https://github.com/tgrex6/unetvl

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UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM

https://github.com/thanos-db/fullyconvolutionaltransformer

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The Fully Convolutional Transformer for Medical Image Segmentation

https://github.com/thetna/medical_image_segmentation

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Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation

https://github.com/thisgame42/hybrid-teacher

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Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI Scans

https://github.com/thomasbudd/ctarr

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CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration

https://github.com/tianrun-chen/xLSTM-UNet-PyTorch

공식 코드

xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart

https://github.com/tiarnaleeKCL/nnUNet-bias-mitigation

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Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation

https://github.com/tiffany9056/IntelliCardiac

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IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification

https://github.com/tiffany9056/uu-mamba

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UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation

https://github.com/timojl/clipseg

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Image Segmentation Using Text and Image Prompts

https://github.com/timothewt/AdvancedGraphClustering

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Advanced Graph Clustering Methods: A Comprehensive and In-Depth Analysis

https://github.com/tingliu/glia

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Image Segmentation Using Hierarchical Merge Tree

https://github.com/tinymilky/NeRD

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NeRD: Neural Representation of Distribution for Medical Image Segmentation

https://github.com/tissueimageanalytics/cerberus

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One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

https://github.com/tljxyys/perspective-unet

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Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

https://github.com/tlliao/multi-homo-warp

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Parallax-tolerant Image Stitching via Segmentation-guided Multi-homography Warping

https://github.com/tntek/dspnet

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Few-Shot Medical Image Segmentation with High-Fidelity Prototypes

https://github.com/toggle1995/ris-dmmi

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Beyond One-to-One: Rethinking the Referring Image Segmentation

https://github.com/tomer196/PILOT

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PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI

https://github.com/tomeramit/SegDiff

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SegDiff: Image Segmentation with Diffusion Probabilistic Models

https://github.com/tomeramit/annotator-consensus-prediction

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Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models

https://github.com/tomtang502/graphseg

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GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction

https://github.com/toneyaya/cgformer

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Contrastive Grouping with Transformer for Referring Image Segmentation

https://github.com/topoxlab/topointeraction

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Learning Topological Interactions for Multi-Class Medical Image Segmentation

https://github.com/torpedo2648/pclmix

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PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation

https://github.com/torrvision/crfasrnn

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Conditional Random Fields as Recurrent Neural Networks

https://github.com/tpnam0901/QTSeg

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QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image Segmentation

https://github.com/tpopordanoska/calibration_and_bias

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On the relationship between calibrated predictors and unbiased volume estimation

https://github.com/tqwei05/PlantSeg

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PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation

https://github.com/tranleanh/edn-gtm

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A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image Dehazing

https://github.com/tranngocduvnvp/litenext

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LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation

https://github.com/trile83/rqunetvae

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Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image Denoising

https://github.com/trustworthy-ai-uu-nki/cross-modal-segmentation

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Enhancing Cross-Modal Medical Image Segmentation through Compositionality

https://github.com/trustworthy-ai-uu-nki/federated-learning-disentanglement

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FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation

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