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/gasperpodobnik/MeshMetrics

공식 코드

Metrics Revolutions: Groundbreaking Insights into the Implementation of Metrics for Biomedical Image Segmentation

https://github.com/gaudetcj/DeepQuaternionNetworks

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Deep Quaternion Networks

https://github.com/gaurav104/WSS-CMER

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Weakly supervised segmentation with cross-modality equivariant constraints

https://github.com/gaussianer/fasterseg

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Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time Capability

https://github.com/gavinwxy/ddfp

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Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation

https://github.com/gaviotas/amn

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Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds

https://github.com/gdaosu/lod2buildingmodel

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Sat2lod2: A Software For Automated Lod-2 Modeling From Satellite-Derived Orthophoto And Digital Surface Model

https://github.com/gdaosu/transferability-remote-sensing

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On the Transferability of Learning Models for Semantic Segmentation for Remote Sensing Data

https://github.com/ge-xing/hybridmim

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HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation

https://github.com/ge-xing/segmamba

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SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

https://github.com/geekfeiw/WiSLAR

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Temporal Unet: Sample Level Human Action Recognition using WiFi

https://github.com/genie-kim/pinthememory

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Pin the Memory: Learning to Generalize Semantic Segmentation

https://github.com/geniussh/dytanvo

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DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments

https://github.com/geoai4cities/pgs-cam

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Towards Explainable LiDAR Point Cloud Semantic Segmentation via Gradient Based Target Localization

https://github.com/geoaigroup/geoai-ecrs2023

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Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentation

https://github.com/geoffreychen777/vc

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Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels

https://github.com/geohai/sea-ice-segment

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Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions

https://github.com/georgebatch/kvasir-seg

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Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges

https://github.com/georgeretsi/mushroom-pose

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Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding

https://github.com/geox-lab/false

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False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image

https://github.com/geox-lab/grass

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GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation

https://github.com/geshang777/FOCUS

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FOCUS: Towards Universal Foreground Segmentation

https://github.com/geshang777/pix2cap

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Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning

https://github.com/gewelsji/dgnet

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Deep Gradient Learning for Efficient Camouflaged Object Detection

https://github.com/gewelsji/errnet

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Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network

https://github.com/gewelsji/vps

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Video Polyp Segmentation: A Deep Learning Perspective

https://github.com/gewu-lab/sounding-object-segmentation-preference

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Can Textual Semantics Mitigate Sounding Object Segmentation Preference?

https://github.com/gfmei/GeoZe

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Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding

https://github.com/gfmei/softclu

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Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding

https://github.com/gfz/weedsgalore

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WeedsGalore: A Multispectral and Multitemporal UAV-based Dataset for Crop and Weed Segmentation in Agricultural Maize Fields

https://github.com/ggjy/Hire-Wave-MLP.pytorch

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Hire-MLP: Vision MLP via Hierarchical Rearrangement

https://github.com/ggsDing/SARSeg

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MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images

https://github.com/ggsDing/WiCoNet

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Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images

https://github.com/giakoumoglou/synco

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SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual Representations

https://github.com/giandbt/synboost

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Pixel-wise Anomaly Detection in Complex Driving Scenes

https://github.com/giannifranchi/deeplabv3-superpixelmix

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Robust Semantic Segmentation with Superpixel-Mix

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