pre-trained vison-language models with the Transformer architecture usually take long inference time. Knowledge distillation has been an efficient technique to transfer the capability of a large model to a small one while maintaining the accuracy, which has achieved remarkable success in natural language...
The performance of the CLIP-adapter model based on multi-phase feature fusion was superior to that based on any single phase (arterial or venous phase). The CLIP-adapter model outperformed traditional radiomics models and deep learning models, with CLIP-adapter_ViT_Base_32 performing the best, ...
9 Jul 2024·Wenhao Xu,Wenming Weng,Yueyi Zhang,Zhiwei Xiong· We present CEIA, an effective framework for open-world event-based understanding. Currently training a large event-text model still poses a huge challenge due to the shortage of paired event-text data. In response to this challenge...
Moreover, a new search modality has been added to empower our core engine, which is inherited from the Contrastive Language-Image Pre-training (CLIP) model. Finally, the user interface is enhanced to display results in groups in order to reduce the effort for a user when locating potentially...
After the recognition, select the name of the large model and configure your own apikey; Click on the 'LLM Inference' button, and FunClip will automatically combine two prompts with the video's srt subtitles; Click on the 'AI Clip' button, and based on the output results of the large ...
An ONNX-based implementation of the CLIP model that doesn't depend on torch or torchvision. - lakeraai/onnx_clip
To answer this question, we construct a simple R-CNN style [16] object detector using a pretrained CLIP model, similar to adapting a convolutional network pretrained on ImageNet. This detector crops candidate object regions from an input image, and applies the CLIP model for de- tecti...
主要方法就是,先利用CLIP预训练模型进行图像与文本描述的匹配(Image-text pretraining),从而训练一个Visual encoderVt和Language encoderL,然后,进行region-text pretraining,将Vt作为teacher model,V作为student model,利用知识蒸馏(Knowledge Distillation,KD)的方法,将Vt学到的知识提取到V,而Language encoderL在image-...
thus enabling fine-grained alignment between image regions and textual concepts. Our method leverages a CLIP model to match image regions with template captions and then pretrains our model to align these region-text pairs in the feature space. When transferring our pretrained model to the open...
thus enabling fine-grained alignment between image regions and textual concepts. Our method leverages a CLIP model to match image regions with template captions and then pretrains our model to align these region-text pairs in the feature space. When transferring our pretrained model to the ...