Papers with Code 아카이브
Phrase Grounding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 5
- 보존된 평가 기록
- 30
Given an image and a corresponding caption, the Phrase Grounding task aims to ground each entity mentioned by a noun phrase in the caption to a region in the image.
Source: Phrase Grounding by Soft-Label Chain Conditional Random Field
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Bilinear Attention Networks
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding
Knowledge Aided Consistency for Weakly Supervised Phrase Grounding
Conditional Image-Text Embedding Networks
Query-guided Regression Network with Context Policy for Phrase Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Learning Deep Structure-Preserving Image-Text Embeddings
Natural Language Object Retrieval
Grounding of Textual Phrases in Images by Reconstruction
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.