Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker
As generative ai models advance in creating multimedia content, the difference between good and great output often lies in the ...
Tag: Segmentation
SAM2Long: A training-free enhancement of SAM 2 for long-term video segmentation
Long video segmentation involves dividing a video into certain parts to analyze complex processes such as motion, occlusions, and varying ...
Customer Segmentation Project: Train, Test, Tune, Repeat | by Leonardo A. ( panData) | August, 2024
Now I bring you one Data Science in Marketing: Customer Base Segmentation Project (clustering). This is a high-level project that ...
Meta SAM 2: Architecture, Applications & Limitations
Introduction Meta has once again redefined the limits of artificial intelligence with the launch of the Segment Anything Model 2 ...
Evaluation of IWSLT2023 speech translation tasks: human annotations, automatic metrics and segmentation
Human evaluation is a critical component in the development of machine translation systems and has received much attention in text ...
Custom Label Studio backend for semi-automatic image segmentation labeling | by Alison Yuhan Yao | April 2024
Custom server; GCP implementation; Data versioning with GCS integrationImage by authortable of Contents· Introduction· General description∘ Goal∘ Why semi-automatic?∘ Entering ...
Live Object Detection and Image Segmentation with YOLOv8
Introduction In computer vision, different techniques for live object detection exist, including Faster R-CNN, SSD, and YOLO. Each technique has ...
Revolutionizing robotic surgery with neural networks: Overcoming catastrophic forgetting through privacy-preserving continuous learning in semantic segmentation
Deep neural networks (DNN) stand out for improving surgical precision through semantic segmentation and accurate identification of robotic instruments and ...
Improving Underwater Image Segmentation with Deep Learning: A Novel Approach to Dataset Expansion and Preprocessing Techniques
Underwater image processing combined with machine learning offers significant potential to improve the capabilities of underwater robots in various marine ...
This AI paper introduces Open Vocabulary SAM – a SAM-inspired model designed for simultaneous interactive segmentation and recognition.
The combination of CLIP and Segment Anything Model (SAM) is an innovative approach to Vision Foundation Models (VFM). SAM performs ...
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