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 ...
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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 ...
DUSt3R: Geometric 3D Vision Made Easy : Explanation and Results
DUSt3R (Dense and Unconstrained Stereo 3D Reconstruction) introduces a novel paradigm in multi-view 3D reconstruction, eliminating the need for predefined camera poses and intrinsics. 3D ...
YOLOv12: Object Detection with Attention
Real-time object detection has become essential for many practical applications, and the YOLO (You Only Look Once) series by Ultralytics has always been a state-of-the-art model series, providing a ...
Video Generation: Evolution from VDM to Veo2 and SORA
Video generation models using the diffusion based approach for training are a significant advancement in the domain of Generative AI. Models like SORA and Veo 2 take the idea of creating images and ...
