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://bitbucket.org/aauvap/aau-rainsnow-eval

공식 코드

Rain Removal in Traffic Surveillance: Does it Matter?

https://bitbucket.org/aauvap/rainremoval

공식 코드

Rain Removal in Traffic Surveillance: Does it Matter?

https://bitbucket.org/deeplab/deeplab-public

공식 코드

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

https://bitbucket.org/eye-ush/ritnet

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RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking

https://bitbucket.org/siddiquemu/usc_mots

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Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation

https://bitbucket.org/visinf/projects-2016-playing-for-data

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Playing for Data: Ground Truth from Computer Games

https://git.fmrib.ox.ac.uk/vaanathi/truenet_tumseg

공식 코드

Brain tumour segmentation using a triplanar ensemble of U-Nets

https://git.rwth-aachen.de/bcs/projects/tp/multiclass-yeast-seg

공식 코드

Analysis of the performance of U-Net neural networks for the segmentation of living cells

https://github.com/072jiajia/image-text-co-decomposition

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Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation

https://github.com/0liliulei/Mem3D

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Quality-Aware Memory Network for Interactive Volumetric Image Segmentation

https://github.com/0liliulei/hieraseg

공식 코드

Deep Hierarchical Semantic Segmentation

https://github.com/0liliulei/mask-vos

공식 코드

Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation

https://github.com/1181110317/SSL_CTT

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Semi-Supervised Semantic Segmentation with Cross Teacher Training

https://github.com/11yxk/sam-lst

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Ladder Fine-tuning approach for SAM integrating complementary network

https://github.com/13204942/ft_methods_for_fetal_head_segmentation

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Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net

https://github.com/191578010/tada-net

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Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection

https://github.com/1989Ryan/Semantic_SLAM

공식 코드

Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment

https://github.com/1999kevin/inr-partition

공식 코드

Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis

https://github.com/2760613195/km_unet

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KM-UNet KAN Mamba UNet for medical image segmentation

https://github.com/282857341/nnformer

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nnFormer: Interleaved Transformer for Volumetric Segmentation

https://github.com/3dperceptionlab/unrealrox

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UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation

https://github.com/3dperceptionlab/unrealrox-plus

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UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments

https://github.com/594422814/ContrastCorr

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Contrastive Transformation for Self-supervised Correspondence Learning

https://github.com/920232796/nestedformer

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NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

https://github.com/96lives/ssen

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Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning

https://github.com/983632847/sam-for-videos

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Segment Anything for Videos: A Systematic Survey

https://github.com/AHupuJR/RFNet

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Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images

https://github.com/AI-in-Cardiovascular-Medicine/nnUZoo

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From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation

https://github.com/AIGeeksGroup/DOEI

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DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps

https://github.com/AIRS-CSR/FractalAD

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FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation

https://github.com/AIS-Bonn/lattice_net

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LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices

https://github.com/AIS-Bonn/stillleben

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Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics

https://github.com/AIVResearch/MSANet

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MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation

https://github.com/AIandGlobalDevelopmentLab/Africa-Rural-Urban-Map

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Mapping Africa Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery

https://github.com/AKASH2907/End-to-End-Semi-Supervised-Learning-for-Video-Action-Detection

공식 코드

End-to-End Semi-Supervised Learning for Video Action Detection

https://github.com/AKASH2907/stable-mean-teacher

공식 코드

Stable Mean Teacher for Semi-supervised Video Action Detection

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