https://github.com/giantseaweed/decree
Learning Transferable Visual Models From Natural Language Supervision
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Learning Transferable Visual Models From Natural Language Supervision
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Composing Text and Image for Image Retrieval - An Empirical Odyssey
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
Dual Attention Networks for Multimodal Reasoning and Matching
Merlin: A Vision Language Foundation Model for 3D Computed Tomography
Learning Transferable Visual Models From Natural Language Supervision
An Empirical Study of Training End-to-End Vision-and-Language Transformers
Learning Transferable Visual Models From Natural Language Supervision
X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.