[ACM MM 2024] Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
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Updated
Oct 12, 2024 - Python
[ACM MM 2024] Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
Implementation of Qformer from BLIP2 in Zeta Lego blocks.
In this we explore into visual Question Answering Using Gemini LLM and image was in URL or any other extension
Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"
The Multimodal Model for Vietnamese Visual Question Answering (ViVQA)
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Finetuning Large Visual Models on Visual Question Answering
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost
(AAAI 2024) BLIVA: A Simple Multimodal LLM for Better Handling of Text-rich Visual Questions
Caption images across your datasets with state of the art models from Hugging Face and Replicate!
Modifying LAVIS' BLIP2 Q-former with models pretrained on Japanese datasets.
This repository is for profiling, extracting, visualizing and reusing generative AI weights to hopefully build more accurate AI models and audit/scan weights at rest to identify knowledge domains for risk(s).
Too lazy to organize my desktop, make gpt + BLIP-2 do it
Creating stylish social media captions for an Image using Multi Modal Models and Reinforcement Learning
Automate Fashion Image Captioning using BLIP-2. Automatic generating descriptions of clothes on shopping websites, which can help customers without fashion knowledge to better understand the features (attributes, style, functionality etc.) of the items and increase online sales by enticing more customers.
An end to end Deep Learning based tool for image caption generation.
A true multimodal LLaMA derivative -- on Discord!
caption generator using lavis and argostranslate
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