# B-REAL

A Carnegie Mellon team released B-REAL, a supervised platform that maps raw video directly to behavior labels without pose estimation, with end-to-end inference latency below 15 ms on standard GPU or CPU hardware. On the CalMS21 mouse social-behavior benchmark, one minute of labeled video surpassed A-SOiD and CBAS trained on the full dataset; on fly aggression, it beat both baselines in all eight paired draws from one minute of labels upward. In closed loop, rewarding mice for B-REAL-detected grooming raised the rate of criterion grooming bouts by 129% from early to late sessions.

A Carnegie Mellon team released B-REAL, a supervised platform that maps raw video directly to behavior labels without pose estimation, with end-to-end inference latency below 15 ms on standard GPU or CPU hardware. On the CalMS21 mouse social-behavior benchmark, one minute of labeled video surpassed A-SOiD and CBAS trained on the full dataset; on fly aggression, it beat both baselines in all eight paired draws from one minute of labels upward. In closed loop, rewarding mice for B-REAL-detected grooming raised the rate of criterion grooming bouts by 129% from early to late sessions.