I-JEPA methodoly teaches a vision transformer model to predict parts of an image in the latent space rather than the pixel space.| DebuggerCafe
In this article, we cover the introduction to BAGEL, an unified multimodal model for image generation, image editing, and free-form image manipulation with non-thinking and thinking capabilties. The post Introduction to BAGEL: An Unified Multimodal Model appeared first on DebuggerCafe.| DebuggerCafe
In this article, we are modifying the Web-DINO 300M architecture for semantic segmentation. We will add a simple segmentation decoder head and train the model for person segmentation. The post Semantic Segmentation using Web-DINO appeared first on DebuggerCafe.| DebuggerCafe
Web-SSL 2.0 is a framework to scale DINOv2 models from 1B to 7B parameters by training them in MC-2B (MetaCLIP-2B) dataset.| DebuggerCafe
Carrying out DINOv2 segmentation experiments for fine-tuning and transfer learning and comparing the results.| DebuggerCafe
Modifying the DINOv2 model for semantic segmentation and training the model on the Penn-Fudan Pedestrian Segmentation Dataset.| DebuggerCafe
RT-DETR is a Real-Time Detection Transformer model with state-of-the-art performance and speed on image and video inference using PyTorch.| DebuggerCafe