Matching questions to correct answers using pre-trained BERT models.
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Updated
Jan 30, 2024 - Jupyter Notebook
Matching questions to correct answers using pre-trained BERT models.
Modern Image Search's course repository for Super AI Engineer Development Program SS4
Searching Images: From Clip And Beyond
The Unified Code of Image-Text Retrieval for Further Exploration.
[TIP2024] The code of “Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching”
A list of research papers on knowledge-enhanced multimodal learning
Cross-modal Retrieval using Transformer Encoder Reasoning Networks (TERN). With use of Metric Learning and FAISS for fast similarity search on GPU
In this work, we implement different cross-modal learning schemes such as Siamese Network, Correlational Network and Deep Cross-Modal Projection Learning model and study their performance. We also propose a modified Deep Cross-Modal Projection Learning model that uses a different image feature extractor. We evaluate the model’s performance on im…
[ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
[TIP2023] The code of “Plug-and-Play Regulators for Image-Text Matching”
Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"
使用OpenCV+onnxruntime部署中文clip做以文搜图,给出一句话来描述想要的图片,就能从图库中搜出来符合要求的图片。包含C++和Python两个版本的程序
Official implementation of our EMNLP 2022 paper "CPL: Counterfactual Prompt Learning for Vision and Language Models"
Image captioning using python and BLIP
Research Code for Multimodal-Cognition Team in Ant Group
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. (EMNLP 2022)
[ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
PyTorch code for BagFormer: Better Cross-Modal Retrieval via bag-wise interaction
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
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