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/shjo-april/coin

공식 코드

COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation

https://github.com/shjo-april/mars

공식 코드

MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation

https://github.com/shjo-april/recurseed_and_edgepredictmix

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RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks

https://github.com/shjung13/standardized-max-logits

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Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation

https://github.com/shlokk/hcl

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Hyperbolic Contrastive Learning for Visual Representations beyond Objects

https://github.com/showlab/datasetdm

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DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

https://github.com/showlab/sam-i2v

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SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost

https://github.com/showlab/sois

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Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization

https://github.com/showlab/videolisa

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One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

https://github.com/shramanpramanick/transformer_based_geo-localization

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Where in the World is this Image? Transformer-based Geo-localization in the Wild

https://github.com/shruti-jadon/Brain-Lesions-Segmentation

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A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial

https://github.com/shruti-jadon/Semantic-Segmentation-Loss-Functions

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A survey of loss functions for semantic segmentation

https://github.com/shu-hai/two-stage-VAE-Attention-gate-BraTS2020

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A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation

https://github.com/shuaichenbigr/label-refinement-network

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Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation

https://github.com/shuangjiexu/MHP-VOS

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MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation

https://github.com/shubham1810/trove_toolkit

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TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments

https://github.com/shuchangye-bib/prolearn

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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation

https://github.com/shuchangye-bib/sgseg

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SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance

https://github.com/shuhongll/sgs-slam

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SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM

https://github.com/shumengli/cfr

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Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation

https://github.com/shumengli/sfr

공식 코드

Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation

https://github.com/shuntos/viton-it

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VTON-IT: Virtual Try-On using Image Translation

https://github.com/shvdiwnkozbw/smtc

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Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos

https://github.com/shvdiwnkozbw/ssl-uvos

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Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation

https://github.com/shyam671/mask2anomaly-unmasking-anomalies-in-road-scene-segmentation

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Unmasking Anomalies in Road-Scene Segmentation

https://github.com/siat-ct-lab/swdl

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SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation

https://github.com/sichengs/manet

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Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image Segmentation

https://github.com/siddharthachandra/gcrf

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Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs

https://github.com/siddiquemu/sct_mcta

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Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security Checkpoints

https://github.com/siddiquemu/ssl_flower_semantic

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Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species

https://github.com/sidgan/ETCI-2021-Competition-on-Flood-Detection

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Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning

https://github.com/signalkinetics/MITO_Codebase

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MITO: A Millimeter-Wave Dataset and Simulator for Non-Line-of-Sight Perception

https://github.com/silky1708/locate

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LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training

https://github.com/silviogalesso/dense-ood-knns

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Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection

https://github.com/simarkareer/unifiedvideoda

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We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline

https://github.com/simatec-uis/CO2Wounds-V2

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CO2Wounds-V2: Extended Chronic Wounds Dataset From Leprosy Patients

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