https://github.com/mainaksingha01/applenet
Learning Transferable Visual Models From Natural Language Supervision
Papers with Code 아카이브
Open Vocabulary Attribute Detection
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Open-Vocabulary Attribute Detection (OVAD) is a task that aims to detect and recognize an open set of objects and their associated attributes in an image. The objects and attributes are defined by text queries during inference, without prior knowledge of the tested classes during training.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mainaksingha01/odg-clip
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Learning Transferable Visual Models From Natural Language Supervision
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Learning Transferable Visual Models From Natural Language Supervision
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Learning Transferable Visual Models From Natural Language Supervision
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Learning Transferable Visual Models From Natural Language Supervision
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Learning Transferable Visual Models From Natural Language Supervision
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Learning Transferable Visual Models From Natural Language Supervision
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출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.