Papers with Code 아카이브
Image Retrieval with Multi-Modal Query
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 3
- 보존된 평가 기록
- 15
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/alexmotogna/attngan
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/alexmotogna/generatorapi
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/alibaba/EasyNLP
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
https://github.com/alibaba/EasyNLP/tree/master/examples/blip_retrieval
https://github.com/alibaba/EasyTransfer/tree/master/scripts/fashion_bert
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
https://github.com/alinstein/Modify-image-by-text
Composing Text and Image for Image Retrieval - An Empirical Odyssey
https://github.com/am-sirdaniel/Image-Captioning-Model
https://github.com/amazon-research/mix-generation
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/amitakamath/hard_positives
CoCa: Contrastive Captioners are Image-Text Foundation Models
https://github.com/amitakamath/whatsup_vlms
CoCa: Contrastive Captioners are Image-Text Foundation Models
https://github.com/anirbrhm/ImageCaptioning
https://github.com/anitakumarijena/Image_Captioning
https://github.com/apple/ml-mobileclip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ara-25/MSDS19002_Project_DLSpring2020
https://github.com/aranciokov/fsmmda_videoretrieval
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
https://github.com/aranciokov/ranp
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
https://github.com/armaank/archlectures
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/armandvilalta/Full-network-multimodal-embeddings
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/asif-hanif/baple
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
https://github.com/atharv6/Image-Captioning
https://github.com/atun-MEI/AI-Course-Final
https://github.com/azshue/TPT
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/baskargroup/Arboretum
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/baskargroup/biotrove
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/bdsaglam/torch-scae
https://github.com/benenzhu/version0.3-scae
https://github.com/bespontaneous/proteus-pytorch
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/bhavinjawade/NAPReq
https://github.com/bmy4415/DMLAB-intern
https://github.com/borisdayma/clip-jax
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/bprabhakar/text-to-image
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/brown-palm/ObjectPrompt
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/bruthyu/bpt-vlm
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/buyeah1109/KEN
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/buyeah1109/finc
Learning Transferable Visual Models From Natural Language Supervision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.