image-embedding
ImageEmbeddingsnew_regular_image_embeddings_DFnew_emotion_image_embeddings_DFEnhancing-Segment-Anything-Model-with-Prioritized-Memory-For-Efficient-Image-EmbeddingsSegment Anything Model (SAM) with Prioritized Memory
Overview
The Segment Anything Model (SAM) by Meta is a state-of-the-art image segmentation model leveraging vision transformers. However, it suffers from high memory usage and computational inefficiencies. Our research introduces a prioritized memory mechanism to enhance SAM’s performance while optimizing resource consumption.
Methodology
We propose a structured memory hierarchy to efficiently manage image embeddings and self-attention… See the full description on the dataset page: https://huggingface.co/datasets/vinit000/Enhancing-Segment-Anything-Model-with-Prioritized-Memory-For-Efficient-Image-Embeddings.recipe-image-embeddingsunsplash25k-image-embeddingsThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.