「Segmentation」の検索結果
14 件Progress in AI is often measured by what a single model can do on its own. Yet teams of AI agents are starting
Prediction errors from video world models are often treated as physical surprise, but they can also reflect ap
Vision-Language-Action (VLA) models have demonstrated promising capabilities in robotic manipulation by integr
Do research agents have taste, the judgment of which experiments are worth running before their outcomes are k
Agentic image editors decompose complex requests into steps, but when a step fails, they mostly retry with the
We present PhysInsert, a framework for physically plausible reference-based object insertion that jointly adap
Music audio generation spans instrumental clips, full songs with vocals, edits of existing recordings, and sys
Humans routinely consume multimodal content, where textual and visual information is naturally interleaved. Al
We present EasyProver, a Lean proving system built from recursive agents with isolated contexts, asynchronous
An action seen once and the same action seen three times receive the same action-recognition label, so that su
Generating videos of a specific subject from a few reference images remains challenging when the camera reveal
In recent years, agentic orchestration has been widely applied to solve complex human tasks. However, existing
Edge medical segmentation must reconcile small model size, high accuracy, and fast inference. TernScope addres
Face image quality assessment (FIQA) estimates the utility of a face image for automated face recognition and