https://github.com/phisad/keras-hicoatt
Hierarchical Question-Image Co-Attention for Visual Question Answering
Papers with Code 아카이브
Visual Dialog
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 98
Visual Dialog requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, given an image, a dialog history, and a follow-up question about the image, the task is to answer the question.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ritvikshrivastava/ADL_VQA_Tensorflow2
Hierarchical Question-Image Co-Attention for Visual Question Answering
https://github.com/ronghanghu/n2nmn
Learning to Reason: End-to-End Module Networks for Visual Question Answering
https://github.com/sea-snell/implicit-language-q-learning
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
https://github.com/shekharRavi/ask-no-more-COLING2018
Ask No More: Deciding when to guess in referential visual dialogue
https://github.com/vincentcartillier/AVSD
https://github.com/wh0330/CAG_VisDial
https://github.com/xubuvd/guesswhat
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.