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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/fanq15/ssp

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Self-Support Few-Shot Semantic Segmentation

https://github.com/fcdl94/fss

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Prototype-based Incremental Few-Shot Semantic Segmentation

https://github.com/haolsun/api

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Attentional Prototype Inference for Few-Shot Segmentation

https://github.com/hhhhedy/gfss-ekt

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Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer

https://github.com/isl-org/lang-seg

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Language-driven Semantic Segmentation

https://github.com/jarch-ma/AFANet

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AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation

https://github.com/jarvis73/fptrans

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Feature-Proxy Transformer for Few-Shot Segmentation

https://github.com/joakimjohnander/dgpnet

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Dense Gaussian Processes for Few-Shot Segmentation

https://github.com/juhongm999/hsnet

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Hypercorrelation Squeeze for Few-Shot Segmentation

https://github.com/junbao-zhou/track-no-forgetting

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TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation

https://github.com/kaixin96/PANet

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PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

https://github.com/kate-sann5100/SS_few_shot

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Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes

https://github.com/leileicao/protoformer

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Prototype as Query for Few Shot Semantic Segmentation

https://github.com/lgnyu/vitseg

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Applying ViT in Generalized Few-shot Semantic Segmentation

https://github.com/liutongkun/gfds

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Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models

https://github.com/liuweide01/HBNC

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Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation

https://github.com/liuyuanwei98/ipmt

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Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation

https://github.com/lizhh268/FSSUWNet

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FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images

https://github.com/luoxiaoliu/pfenet2plus

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PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask

https://github.com/matt-su/dr-adapter

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Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation

https://github.com/mboudiaf/RePRI-for-Few-Shot-Segmentation

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Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?

https://github.com/mindflow-institue/annotation_free_fewshot

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Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach

https://github.com/ml4ai/mliis

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Meta-Learning Initializations for Image Segmentation

https://github.com/moonsh/hm-hybrid-masking

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HM: Hybrid Masking for Few-Shot Segmentation

https://github.com/moonsh/msi-maximize-support-set-information

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MSI: Maximize Support-Set Information for Few-Shot Segmentation

https://github.com/mustafa1728/wlsegnet

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A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation

https://github.com/nust-machine-intelligence-laboratory/fecanet

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FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network

https://github.com/pasqualedem/LabelAnything

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Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts

https://github.com/pawn-sxy/dcama

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Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

https://github.com/pbihao/hdmnet

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Hierarchical Dense Correlation Distillation for Few-Shot Segmentation

https://github.com/pedrohtg/weasel

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Learning to Segment Medical Images from Few-Shot Sparse Labels

https://github.com/picsart-ai-research/mask-matching-transformer

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Mask Matching Transformer for Few-Shot Segmentation

https://github.com/primebo1/FAMNet

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FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation

https://github.com/redabensaidds/foundation_fewshot

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A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models

https://github.com/rezazad68/fewshot-segmentation

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On the Texture Bias for Few-Shot CNN Segmentation

https://github.com/robotic-vision-lab/few-shot-fruit-segmentation-via-transfer-learning

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Few-Shot Fruit Segmentation via Transfer Learning

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