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/camma-public/peskavlp
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
https://github.com/camma-public/surgvlp
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
https://github.com/cattidea/VinVL-Paddle
VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/chunlei2/show-and-tell
https://github.com/claws-lab/multimodal-robustness-xmai
An Empirical Study of Training End-to-End Vision-and-Language Transformers
https://github.com/clip-italian/clip-italian
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/clvrai/relation-network-tensorflow
https://github.com/cnedwards/text2mol
https://github.com/cnichkawde/MatchingNetwork
https://github.com/codehacpj/Image_description
https://github.com/cshizhe/hgr_v2t
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/cxiang26/stacked_capsule_autoencode_pl
https://github.com/danielajisafe/Image-Captioning-Model
https://github.com/davidstap/AttnGAN
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/dddzeng/CMR_audiovisual
Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval
https://github.com/dhansmair/flamingo-mini
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/dibschat/tempAgg
https://github.com/doc-doc/NExT-OE
https://github.com/eify/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ellenzhuwang/implicit_vkood
https://github.com/epic-kitchens/C1-Action-Recognition-TSN-TRN-TSM
https://github.com/epic-kitchens/epic-kitchens-slowfast
https://github.com/eps696/aphantasia
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ericyinyzy/vlattack
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/facebookresearch/brainmagick
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/facebookresearch/clip-rocket
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/facebookresearch/metaclip
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
https://github.com/facebookresearch/multimodal
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/facebookresearch/vissl
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/fanchenyou/deepdiary
https://github.com/fastscience-ai/medflamingo
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/fcorencoret/dynamic-rn
https://github.com/fiabdu/Commonly-Interesting-Images
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/filipbasara0/simple-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/gfoxx29/Image-Captioning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.