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/jeming-creater/hwa-unetr

공식 코드

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

https://github.com/jensle97/lion-xa

공식 코드

LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training

https://github.com/jeovafarias/teamseg

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Estimating Appearance Models for Image Segmentation via Tensor Factorization

https://github.com/jeremy-chopin/apacosi

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Model-based inexact graph matching on top of CNNs for semantic scene understanding

https://github.com/jeroenbertels/deepvoxnet2

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DeepVoxNet2: Yet another CNN framework

https://github.com/jeroenbertels/dicegrad

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The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$

https://github.com/jeromerony/alma_prox_segmentation

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Proximal Splitting Adversarial Attacks for Semantic Segmentation

https://github.com/jerryx1110/robust-video-object-segmentation

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Towards Robust Video Object Segmentation with Adaptive Object Calibration

https://github.com/jerryx1110/rpcmvos

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Reliable Propagation-Correction Modulation for Video Object Segmentation

https://github.com/jessie459/feature-self-reinforcement

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Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation

https://github.com/jethropeng/gcdss

공식 코드

Generalized Category Discovery in Semantic Segmentation

https://github.com/jeya-maria-jose/KiU-Net-pytorch

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KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations

https://github.com/jeya-maria-jose/Medical-Transformer

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Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

https://github.com/jeya-maria-jose/on-the-fly-adaptation

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On-the-Fly Test-time Adaptation for Medical Image Segmentation

https://github.com/jeya-maria-jose/unext-pytorch

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UNeXt: MLP-based Rapid Medical Image Segmentation Network

https://github.com/jfzhuang/DAVSS

공식 코드

Video Semantic Segmentation with Distortion-Aware Feature Correction

https://github.com/jfzhuang/st_memory

공식 코드

Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement

https://github.com/jhl-det/rgbd_video_sod

공식 코드

ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection

https://github.com/jhoffman/cycada_release

공식 코드

CyCADA: Cycle-Consistent Adversarial Domain Adaptation

https://github.com/jia-zhang666/grm_layer

공식 코드

Weakly Supervised Semantic Segmentation by Knowledge Graph Inference

https://github.com/jia2lin3yuan1/2020-instanceSeg

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Deep Variational Instance Segmentation

https://github.com/jiadingcn/geminifusion

공식 코드

GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer

https://github.com/jiahao000/mfm

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Masked Frequency Modeling for Self-Supervised Visual Pre-Training

https://github.com/jiahao000/mosaicfusion

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MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation

https://github.com/jiahechen2002/dcf

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Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation

https://github.com/jiahuadong/fiss

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Federated Incremental Semantic Segmentation

https://github.com/jialeli1/lidarseg3d

공식 코드

MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving

https://github.com/jiamang/ibt

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Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation

https://github.com/jianf-wang/gbdl

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Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation

https://github.com/jianf-wang/np-semiseg

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NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation

https://github.com/jianfenglihg/Unsupervised_geometry

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Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video

https://github.com/jiangxb98/mwsis-plugin

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MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving

https://github.com/jiangzhengkai/proca

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Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation

https://github.com/jianhua2022/CMF-Refseg

공식 코드

CMF: Cascaded Multi-model Fusion for Referring Image Segmentation

https://github.com/jianing-qiu/parnet

공식 코드

Mining Discriminative Food Regions for Accurate Food Recognition

https://github.com/jianjianyin/dfen

공식 코드

DFEN: Dual Feature Equalization Network for Medical Image Segmentation

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