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cs.CV2026
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
GigaBrain Team, Boyuan Wang, Bohan Li +23
Vision-language-action (VLA) models that directly predict multi-step action chunks from current observations face inherent limitations due to constrained scene understanding and we…
cs.CV2024
EITNet: An IoT-Enhanced Framework for Real-Time Basketball Action Recognition
Jingyu Liu, Xinyu Liu, Mingzhe Qu +1
Integrating IoT technology into basketball action recognition enhances sports analytics, providing crucial insights into player performance and game strategy. However, existing met…