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A suggestion for a long-term project. I recently found this interesting paper [AstroCLIP: A Cross-Modal Foundation Model for Galaxies](https://arxiv.org/pdf/2310.03024).
As far as I understand, th…
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## タイトル: FACMIC: 医療画像分類のための連合適応CLIPモデル
## リンク: https://arxiv.org/abs/2410.14707
## 概要:
分散型データを用いた深層学習モデルの学習を可能にし、データプライバシーを確保する手法として、Federated learning (FL) が注目されています。しかし、FLでは、モデル性能の評価において通信コストが重要…
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Hi Oscar Team,
I read your superior paper some times and was interested in 'contrastive loss' mentioned in paper, but I can't find it in the source code.
(1)Specifically ,I noticed the model used …
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## Problem statement
1. image와 language pair의 관계에 대한 multi-modal pre-training을 넘어서, language supervision과 image self-supervision을 통해 데이터 효율을 높여본다.
- CLIP + SimCLR(image supervision)을 해보자
##…
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### [PDF] [Attention Prompting on Image for Large Vision-Language…
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## Problem statement
1. CLIP variants의 이미지와 텍스트 사이의 관계 학습은 텍스트의 각 토큰들과 이미지 패치의 관계에 대해 학습하기에는 학습과 추론 시 효율성이 떨어진다 -> finer-level alignment할 수 있는 방법을 찾아보자
2. 이미지 패치와 텍스트 토큰 간의 attention 이용하는 기존 연구의 약점 …
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## Selfie: Self-supervised Pretraining for Image Embedding
- [https://arxiv.org/abs/1906.02940](https://arxiv.org/abs/1906.02940)
- Google Brain team
- Generalizes Masked Language Modeling (MLM) …
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We need to convert keras.io examples to work with Keras 3.
This involves two stages:
## Stage 1: tf.keras backwards compatibility check
Keras 3 is intended as a drop-in replacement for tf.ker…
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This project focuses on developing Visual Question Answering (VQA) systems using two models: CLIP (Contrastive Language-Image Pretraining) and BLIP (Bootstrapped Language-Image Pretraining). The goal …
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In figure 8 of the paper, the authors compared IN1K pre-trained MAE with JFT300M supervised results. Have you tried pre-training an MAE on JFT300M to see if MAE outperforms supervised training on larg…