Depth Pro, is an excellent foundational, zero shot metric depth estimator from Apple ML, nails at creating high resolution, sharp metric depth maps in mere seconds. Imagine reviving those ...
Image Captioning using ResNet and LSTM
Imagine you’re watching a travel vlog on YouTube, and you turn on the image captions feature. As the video shows a stunning view of Mount Fuji, a caption appears: “Snow-capped Mount Fuji at sunrise ...
LightRAG: Simple and Fast Alternative to GraphRAG for Legal Doc Analysis
LightRAG is an innovative approach based on GraphRAG that combines the attributes of Knowledge Graphs with embedding-based retrieval systems, making it fast as well as performant, achieving SOTA ...
Training 3D U-Net for Brain Tumor Segmentation (BraTS2023-GLI) Challenge
3D U-Net, an efficient paradigm in medical segmentation, excels at analyzing 3D volumetric data, allowing it to capture a holistic view of brain scans. In many parts of the world, ...
DETR: Overview and Inference
In the groundbreaking paper “Attention is all you need”, Transformers architecture was introduced for sequence to sequence tasks in NLP. Models like Bert, GPT were built on the top of Transformers ...
Sapiens: Foundation for Human Vision Models by Meta
Sapiens, a family of foundational Human Vision Models by Rawal et al., from Meta, achieves state-of-the-art results for human centric tasks like 2D pose estimation, body-part segmentation, depth ...