MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Paper • 2403.19651 • Published • 26
Multimodal Embeddings
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No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 29 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 47 -
OpenGVLab/InternVL-14B-224px
Image Feature Extraction • 14B • Updated • 53 • 35 -
Alibaba-NLP/gte-large-en-v1.5
Sentence Similarity • Updated • 1.07M • 234 -
jinaai/jina-embeddings-v2-base-en
Feature Extraction • 0.1B • Updated • 149k • 732 -
castorini/repllama-v1.1-mrl-7b-lora-passage
Feature Extraction • 7B • Updated • 4 • 5 -
McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp
Sentence Similarity • Updated • 729 • 6 -
BAAI/bge-visualized
Updated • 73 -
royokong/e5-v
Sentence Similarity • 8B • Updated • 19.1k • 33 -
TIGER-Lab/VLM2Vec-Full
Text Generation • 4B • Updated • 91.4k • 29 -
openbmb/VisRAG-Ret
Feature Extraction • 3B • Updated • 1.47k • 72