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Zero Shot Segmentation

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보존된 평가 기록

17

코드

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

https://github.com/blumenstiel/SAN-MESS

Side Adapter Network for Open-Vocabulary Semantic Segmentation

https://github.com/camenduru/grounded-segment-anything-colab

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

https://github.com/casia-iva-lab/fastsam

Image Segmentation Using Text and Image Prompts

https://github.com/cubeyoung/OTSeg

ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts

https://github.com/dvlab-research/VisionReasoner

Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement

https://github.com/hiyouga/easyr1

Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement

https://github.com/huggingface/transformers

Image Segmentation Using Text and Image Prompts

https://github.com/hzlbbfrog/generative-bim

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

https://github.com/idea-research/dino-x-api

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

https://github.com/idea-research/grounded-sam-2

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

https://github.com/jiaosiyu1999/MAFT-Plus

Learning Mask-aware CLIP Representations for Zero-Shot Segmentation

https://github.com/lipurple/grounded-diffusion

Open-vocabulary Object Segmentation with Diffusion Models

https://github.com/longzw1997/Open-GroundingDino

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

https://github.com/lxa9867/PaintSeg

PaintSeg: Training-free Segmentation via Painting

https://github.com/mendelxu/zsseg.baseline

Side Adapter Network for Open-Vocabulary Semantic Segmentation

https://github.com/openrobotlab/ov_parts

Image Segmentation Using Text and Image Prompts

https://github.com/sqhuang0103/samreg

Segment Anything in High Quality

https://github.com/supermedintel/one-prompt

One-Prompt to Segment All Medical Images

https://github.com/voxelmorph/voxelmorph

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation

https://github.com/xmed-lab/clipn

A Closer Look at the Explainability of Contrastive Language-Image Pre-training

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