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Few-Shot Semantic Segmentation

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하위 태스크: 1
평가표: 13
보존된 평가 기록: 458

Few-shot semantic segmentation (FSS) learns to segment target objects in query image given few pixel-wise annotated support image.

코드

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

https://github.com/AIVResearch/MSANet

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

https://github.com/ANDYZAQ/GF-SAM

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Bridge the Points: Graph-based Few-shot Segment Anything Semantically

https://github.com/Bibkiller/ASR

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Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation

https://github.com/GengDavid/CyCTR

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Few-Shot Segmentation via Cycle-Consistent Transformer

https://github.com/HKUSTCV/FSS-1000

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FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation

https://github.com/Jarvis73/FPTransPaddle

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Feature-Proxy Transformer for Few-Shot Segmentation

https://github.com/Jia-Research-Lab/PFENet

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Prior Guided Feature Enrichment Network for Few-Shot Segmentation

https://github.com/LIUYUANWEI98/NERTNet

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Learning Non-target Knowledge for Few-shot Semantic Segmentation

https://github.com/Layjins/CECNet

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Clustered-patch Element Connection for Few-shot Learning

https://github.com/LiheYoung/MiningFSS

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Mining Latent Classes for Few-shot Segmentation

https://github.com/MSiam/AdaptiveMaskedProxies

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Adaptive Masked Proxies for Few-Shot Segmentation

https://github.com/Reagan1311/ASGNet

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Adaptive Prototype Learning and Allocation for Few-Shot Segmentation

https://github.com/Seokju-Cho/Volumetric-Aggregation-Transformer

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Cost Aggregation Is All You Need for Few-Shot Segmentation

https://github.com/SteveImmanuel/OEM-Few-Shot-Learnable-Prompt

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Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain

https://github.com/TrinitialChan/DifFSS

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DifFSS: Diffusion Model for Few-Shot Semantic Segmentation

https://github.com/TungChintao/APM

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Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation

https://github.com/Xiangyi1996/PPNet-PyTorch

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Part-aware Prototype Network for Few-shot Semantic Segmentation

https://github.com/Yang-Bob/PMMs

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Prototype Mixture Models for Few-shot Semantic Segmentation

https://github.com/YazhouZhu19/RobustEMD

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RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation

https://github.com/aim-uofa/diffews

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Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation

https://github.com/aim-uofa/matcher

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Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

https://github.com/ait-assistive-autonomous-systems/hopomop

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Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks

https://github.com/aldrich2y/mianet

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MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation

https://github.com/alex-shilei/mshnet

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https://github.com/amirrezafateh/msdnet

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MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping

https://github.com/arnab39/FewShot_GAN-Unet3D

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Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

https://github.com/baaivision/painter

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SegGPT: Segmenting Everything In Context

https://github.com/cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation

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Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

https://github.com/chenjiayi68/dmtnet

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Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation

https://github.com/chunbolang/BAM

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Learning What Not to Segment: A New Perspective on Few-Shot Segmentation

https://github.com/chunbolang/DCP

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Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation

https://github.com/cliffbb/oem-fewshot-challenge

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Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark

https://github.com/cv516buaa/sd-aanet

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A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation

https://github.com/dahyun-kang/ifsl

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Integrative Few-Shot Learning for Classification and Segmentation

https://github.com/ducminhkhoi/Feature-Weighting-and-Boosting

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Feature Weighting and Boosting for Few-Shot Segmentation

https://github.com/dvlab-research/gfs-seg

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Generalized Few-shot Semantic Segmentation

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