https://github.com/ashkamath/mdetr
공식 코드MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
Papers with Code 아카이브
Referring Image Matting
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Extracting the meticulous alpha matte of the specific object from the image that can best match the given natural language description, e.g., a keyword or a expression.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jizhizili/matting-survey
공식 코드https://github.com/jizhizili/rim
공식 코드https://github.com/shi-labs/matting-anything
공식 코드https://github.com/timojl/clipseg
공식 코드https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/clipseg
https://github.com/AleDella/mdter_eval
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/MindSpore-scientific/code-7/tree/main/ImageGPT
https://github.com/b-faye/lightmdetr
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/casia-iva-lab/fastsam
https://github.com/facebookresearch/multimodal
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/huggingface/transformers
https://github.com/lxa9867/PaintSeg
https://github.com/openrobotlab/ov_parts
https://github.com/thunlp/pevl
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.