Abstract: The essence of audio-visual segmentation (AVS) lies in locating and delineating sound-emitting objects within a video stream. While Transformer-based methods have shown promise, their ...
This repository contains code and datasets for our research on developing machine learning models that mimic human visual motion perception. While state-of-the-art computer vision (CV) models, such as ...
Meta has introduced SAM Audio, an AI model capable of separating individual sound sources from audio mixes, with users able to control the process through text commands, clicking on video elements, or ...
Tensions surfaced in the CBS News newsroom over the weekend after newly appointed Editor-in-Chief Bari Weiss declined to air a “60 Minutes” segment on El Salvador’s maximum-security prison. The ...
Abstract: In this paper, we propose a new multi-modal task, termed audio-visual instance segmentation (AVIS), which aims to simultaneously identify, segment and track individual sounding object ...
Meta has released another new artificial intelligence (AI) model in the Segment Anything Model (SAM) family. On Tuesday, the Menlo Park-based tech giant released SAM Audio, a large language model (LLM ...
SAM Audio uses separate encoders for each conditioning signal, an audio encoder for the mixture, a text encoder for the natural language description, a span encoder for time anchors, and a visual ...
According to @AIatMeta, Meta has launched SAM Audio, SAM 3D, and SAM 3 within the Segment Anything Playground, a demonstration platform for next-generation multimodal ...
Meta's SAM Audio leverages multimodal prompts for audio separation, offering intuitive sound isolation capabilities. The model introduces state-of-the-art features for various audio processing tasks.
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