If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...

40. The Waterboys – The Life and Death of Dennis Hopper (Sun Records) ...

In a significant step towards strengthening experiential learning, the Central Board of Secondary Education (CBSE) has ...

While humans evolved to perform routine endurance activity, recent secular trends in the United States and globally have resulted in a dramatic rise in the amount of time spent inactive in both ...

Red light range: Pay attention to the wavelengthsred light typically falls between 630660 nanometers, while near-infrared is usually around 830 nanometers, says Dr. Henry. Look for masks that fall ...

This is a simple task manager for Arduino / ESP32 to schedule tasks at a given frequency. Tasks are represented by anonymous functions, so they must be small, non-blocking and cooperative.

This year, the Trump administration took several federal actions with widespread implications for the nation’s English learners, a fast-growing student population whose education often hinges on ...

Eagle-eyed linguists have spotted British spelling of words like 'analyse' in Carney's fiscal budget. Canadian language experts are calling on Prime Minister Mark Carney to ditch British spelling in ...

Abstract: Mobile crowd sensing (MCS) is an emerging approach to collect data using smart devices. In MCS, task assignment is described as assigning existing tasks to known workers outside the ...

CBS’s FBI season eight heads into the winter break with a special two-part storyline. Episode nine, “Lone Wolf,” will air on Monday, December 15, 2025 at 8pm ET/PT. Episode 10, “Wolf Pack,” follows at ...

Christmas is the time for feel-good films and series, and Netflix has certainly delivered with its latest one, with the streaming giant's latest hit being described as "sweet" and "soulful". The ...

Abstract: Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learning new knowledge from limited training examples without forgetting previous knowledge. However, we observe that ...