Papers with Code 아카이브

2D Semantic Segmentation

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전체 기법전체 데이터셋

하위 태스크

17

평가표

11

보존된 평가 기록

42

코드

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

https://github.com/biolins/insideness_data

공식 코드

Do Neural Networks for Segmentation Understand Insideness?

https://github.com/biomedia-mbzuai/brats2024_biomediambz

공식 코드

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks

https://github.com/biomedia-mbzuai/contrastive-echo

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Contrastive Pretraining for Echocardiography Segmentation with Limited Data

https://github.com/biomedia-mbzuai/salt

공식 코드

SALT: Singular Value Adaptation with Low-Rank Transformation

https://github.com/biomedia-mira/masf

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Domain Generalization via Model-Agnostic Learning of Semantic Features

https://github.com/biomedia-mira/stochastic_segmentation_networks

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Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty

https://github.com/biomedia-repo/pg-fanet

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Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation

https://github.com/bionicvisionlab/2021-han-scene-simplification

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Deep Learning--Based Scene Simplification for Bionic Vision

https://github.com/biqiwhu/agos

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All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification

https://github.com/birlrobotics/PMN

공식 코드

Pose-based Modular Network for Human-Object Interaction Detection

https://github.com/birlrobotics/vs-gats

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Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection

https://github.com/biswassanket/docsegtr

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DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer

https://github.com/bknyaz/sgg

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Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation

https://github.com/blackprotoss/gsdm

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Text Image Inpainting via Global Structure-Guided Diffusion Models

https://github.com/blaschko/supermodularLP

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Slack and Margin Rescaling as Convex Extensions of Supermodular Functions

https://github.com/bloodaxe/xview2-solution

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Fully convolutional Siamese neural networks for buildings damage assessment from satellite images

https://github.com/bluecdm/Long-tailed-recognition

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Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels

https://github.com/bluehenglee/mli-msc

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Weakly Supervised Segmentation Framework for Thyroid Nodule Based on High-confidence Labels and High-rationality Losses

https://github.com/blvlab/pimae

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PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection

https://github.com/bo-miao/HTR

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Temporally Consistent Referring Video Object Segmentation with Hybrid Memory

https://github.com/bo-miao/MAMP

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Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation

https://github.com/bo-miao/sgmg

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Spectrum-guided Multi-granularity Referring Video Object Segmentation

https://github.com/bobrown/ccda_lgfa

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Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation

https://github.com/bobwan1995/PMFNet

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Pose-aware Multi-level Feature Network for Human Object Interaction Detection

https://github.com/boqian333/e2enet-medical

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E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation

https://github.com/boschresearch/relationfield

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RelationField: Relate Anything in Radiance Fields

https://github.com/bosonphoton/abstractedgaussianprototypes

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Abstracted Gaussian Prototypes for One-Shot Concept Learning

https://github.com/bowang-lab/medsam

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Segment Anything in Medical Images

https://github.com/bowang-lab/medsam2

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MedSAM2: Segment Anything in 3D Medical Images and Videos

https://github.com/bowen-upenn/scene_graph_commonsense

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Hierarchical Relationships: A New Perspective to Enhance Scene Graph Generation

https://github.com/bowenc0221/boundary-iou-api

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Boundary IoU: Improving Object-Centric Image Segmentation Evaluation

https://github.com/brack-wang/zeco

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ZECO: ZeroFusion Guided 3D MRI Conditional Generation

https://github.com/brainimageanalysis/ici-loss

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Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function

https://github.com/brian-h-wang/LDLS

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LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images

https://github.com/briley-byl123/mper

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Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation

https://github.com/brownvc/shapefromtracing

공식 코드

Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing

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