The article presents a study from IBM Research AI on creating efficient models for detecting hate, abuse, and profanity (HAP) in Large Language Models (LLMs). The authors highlight the importance…
Continue readingThe authors have developed an enhanced audio-visual Sound Event Localization and Detection (SELD) network, improving on the audio-only SELDnet23 model by integrating audio and video information. The system uses YOLO…
Continue readingThe study discusses the challenges of sound event localization and detection (SELD) methods due to environment shifts and conflicts. It proposes an environment-adaptive Meta-SELD that uses minimal data for efficient…
Continue readingThe article introduces Look at Robot Base Once (LRBO), a novel method for hand-eye calibration in robotic systems. This process is crucial in estimating the transformation matrix between a camera…
Continue readingThe article discusses the development of a new method for detecting deepfakes, known as FACTOR. Traditional methods struggle with detecting new, unseen types of deepfake attacks. FACTOR, however, uses fact…
Continue readingThis research presents a new annotation strategy, Drag&Drop, for tumor detection and localization. This strategy simplifies the annotation process making it more efficient, particularly for temporal and volumetric imaging. The…
Continue readingThe research addresses the potential threat posed by Large Language Models (LLMs) such as ChatGPT, which can be exploited to generate misinformation. The study examines whether LLM-generated misinformation is more…
Continue readingAct3D is a novel robotic manipulation policy that leverages 3D perceptual representations for high-precision end-effector pose prediction. The system is designed to overcome the computational limitations of high-resolution 3D perceptual…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
