Image Retrieval with Multi-Modal Query
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The problem of retrieving images from a database based on a multi-modal (image- text) query. Specifically, the query text prompts some modification in the query image and the task is to retrieve images with the desired modifications.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/matwilso/relation-networks
https://github.com/maz0318/nlpSummerCamp2019
https://github.com/mdda/relationships-from-entity-stream
https://github.com/mertyg/post-hoc-cbm
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mesnico/RelationNetworks-CLEVR
https://github.com/microsoft/VSE_Gradient
Dissecting Deep Metric Learning Losses for Image-Text Retrieval
https://github.com/microsoft/unicl
https://github.com/microsoft/xpretrain
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers
https://github.com/milvlg/rosita
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
https://github.com/mindspore-ai/models/tree/master/research/mm/opt
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
https://github.com/mindspore-courses/heads-on-mindspore/tree/main/5-image_caption
https://github.com/minhanh151/pre
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/minhanh151/respro
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mitjanikolaus/compositional-image-captioning
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/mkhalil1998/EC601_Group_Project
VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/ml-jku/cloob
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mlbio-epfl/turtle
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mlfoundations/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mlfoundations/open_flamingo
https://github.com/moduIo/Relation-Networks
https://github.com/moein-shariatnia/OpenAI-CLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/morrisxu-driving/video-music_cross-modal_retrival
Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint
https://github.com/mustafa1728/TA3N-Lightning
https://github.com/muzairkhattak/multimodal-prompt-learning
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/my-yy/learnable_pins
https://github.com/nahidalam/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/nalbert9/Image-Captioning
https://github.com/naver/artemis
https://github.com/necla-ml/SNLI-VE
https://github.com/neerav47/Image-Captioning
https://github.com/nerdimite/relation-network
https://github.com/nicolafan/image-captioning-cnn-rnn
https://github.com/nikhilmaram/Show_and_Tell
https://github.com/ninatu/howtocaption
https://github.com/nishimehta/Image_Captioning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.