Papers with Code 아카이브

Semantic Segmentation

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전체 기법전체 데이터셋

하위 태스크

29

평가표

150

보존된 평가 기록

1,918

코드

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

https://github.com/theevann/fast-cwm-segmentation

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Borrowing from yourself: Faster future video segmentation with partial channel update

https://github.com/thefatbandit/FDA

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Reproducibility of "FDA: Fourier Domain Adaptation forSemantic Segmentation

https://github.com/thejaelal/lineformer

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LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation

https://github.com/theo2021/onda

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Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions

https://github.com/theoceancleanup/rivertrashsegmentation

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Foundation Model or Finetune? Evaluation of few-shot semantic segmentation for river pollution

https://github.com/thetna/endo-active-learn

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Task-Aware Active Learning for Endoscopic Image Analysis

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/thkreutz/umosmots

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Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series

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/thomasjo/nemo-redux

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Instance Segmentation of Microscopic Foraminifera

https://github.com/thomasverelst/blockcopy-video-processing-pytorch

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BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies

https://github.com/thomasverelst/segblocks-segmentation-pytorch

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SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation

https://github.com/thsant/wgisd

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Grape detection, segmentation and tracking using deep neural networks and three-dimensional association

https://github.com/thu-lyj-lab/ar-seg

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Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos

https://github.com/tianfang-zhang/cas-vit

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CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications

https://github.com/tiangexiang/BiO-Net

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BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture

https://github.com/tiangexiang/CurveNet

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Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

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

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

https://github.com/tianxiang-hao/urban1960satseg

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Urban1960SatSeg: Unsupervised Semantic Segmentation of Mid-20$^{th}$ century Urban Landscapes with Satellite Imageries

https://github.com/tianyafu/road-status-graph-dataset

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Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles

https://github.com/tianyu0207/pebal

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Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

https://github.com/tianzetang0504/ukan-ep

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UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor Segmentation

https://github.com/tianzhi0549/FCOS

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FCOS: Fully Convolutional One-Stage Object Detection

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/tiev-tongji/convexhull-based-algebraic-constraint

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Convex Hull-based Algebraic Constraint for Visual Quadric SLAM

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/timbervision/timbervision

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TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations

https://github.com/timbroed/MUSES

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MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty

https://github.com/timbroed/cafuser

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CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes

https://github.com/timbroed/hrfuser

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HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection

https://github.com/timjaspers0801/surgenet

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Scaling up self-supervised learning for improved surgical foundation models

https://github.com/timmh/synthetic-animals

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Exploiting Depth Information for Wildlife Monitoring

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

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