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/nagellette/sentinel_traj_nn

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AI Powered Road Network Prediction with Multi-Modal Data

https://github.com/nailperry-zd/paddleseg-trianglenet

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TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task Consistency

https://github.com/naisops/CTranS

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ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation

https://github.com/naivete5656/WSISPDR

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Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response

https://github.com/naiyugao/panopticdepth

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PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation

https://github.com/nanase1025/m-sam

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Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

https://github.com/nanh5837/lettucemots

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Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural Robots

https://github.com/nankepan/VIPMT

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Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation

https://github.com/nanyomy/cmmas

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Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion

https://github.com/nasim-aust/braintumor-segmentation-3dunet-brats

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Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis

https://github.com/nataliiamolch/interpret-lesion-unc

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Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis

https://github.com/naufalso/adversarial-manhole

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Adversarial Manhole: Challenging Monocular Depth Estimation and Semantic Segmentation Models with Patch Attack

https://github.com/naufalso/cityscape-adverse

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Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image Editing

https://github.com/naveen7102/fmri-time-series-classification

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Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision

https://github.com/naver-ai/lut

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Learning with Unmasked Tokens Drives Stronger Vision Learners

https://github.com/naver-ai/rdnet

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DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs

https://github.com/naver-ai/relabel_imagenet

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Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels

https://github.com/naver-ai/seit

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SeiT++: Masked Token Modeling Improves Storage-efficient Training

https://github.com/naver-ai/vidt

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An Extendable, Efficient and Effective Transformer-based Object Detector

https://github.com/naver-ai/w-ood

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Weakly Supervised Semantic Segmentation using Out-of-Distribution Data

https://github.com/naver/oasis

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On the Road to Online Adaptation for Semantic Image Segmentation

https://github.com/naver/poc

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Placing Objects in Context via Inpainting for Out-of-distribution Segmentation

https://github.com/naver/relis

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Reliability in Semantic Segmentation: Are We on the Right Track?

https://github.com/navganti/SIVO

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Network Uncertainty Informed Semantic Feature Selection for Visual SLAM

https://github.com/navidstuv/NuClick

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NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images

https://github.com/nayutayuki/lightweight-nmode-decoders-for-u-like-networks

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A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder

https://github.com/nazmul-karim170/C-SFDA_Source-Free-Domain-Adaptation

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C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation

https://github.com/ncclabsustech/ifcis-55

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Immunofluorescence Capillary Imaging Segmentation: Cases Study

https://github.com/ndraeger/waba

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Backdoor Attacks for Remote Sensing Data with Wavelet Transform

https://github.com/ndrwmlnk/awesome-digital-twins

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Digital Twin Generation from Visual Data: A Survey

https://github.com/neel-dey/anystar

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AnyStar: Domain randomized universal star-convex 3D instance segmentation

https://github.com/neerakara/test-time-adaptable-neural-networks-for-domain-generalization

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Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation

https://github.com/negin-ghamsarian/deeppyramid_miccai2022

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DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

https://github.com/negin-ghamsarian/transformation-invariant-self-training-miccai23

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Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

https://github.com/negu93/cvnn-polsar

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Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks

https://github.com/neheller/kits19

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The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

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