MASt3R (Matching and Stereo 3D Reconstruction) aims to treat image matching as a 3D problem leveraging dense correspondences and understanding the 3D scene rather than a traditional 2D approach. This ...
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MatAnyone Explained: Consistent Memory for Better Video Matting
Imagine being able to separate the foreground from the background in your videos with clear, accurate mattes every time. With AI models like MatAnyone, video matting delivers precise alpha mattes ...
GraphRAG: The Practical Guide for Cost-Effective Document Analysis with Knowledge Graphs
GraphRAG integrates structured Knowledge Graphs (KGs) with semantic chunks (vectors), it enables LLMs to reason over multi-hop connections for complex queries and connect the dots between different ...
OmniParser: Vision Based GUI Agent
The rapid advancement of Vision-Language Models (VLMs) has significantly improved the ability of AI systems to interact with graphical user interfaces (GUIs). However, existing models often struggle ...
Fine-Tuning YOLOv12: Comparison with YOLOv11 & Darknet-Based YOLOv7
Object detection has undergone tremendous advancements, with models like YOLOv12, YOLOv11, and Darknet-Based YOLOv7 leading the way in real-time detection. While these models perform exceptionally ...
FineTuning RetinaNet for Wildlife Detection with PyTorch: A Step-by-Step Tutorial
According to World Wildlife Fund assessments, the global biodiversity crisis has reached critical levels, with terrestrial mammal populations declining by 69% since 1970. From Africa’s savannahs to ...
