Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.
EventVLA addresses long-horizon robotic manipulation challenges by introducing a sparse visual evidence memory framework with visual anchors and dynamic Keyframe Evidence Memory mo…
A large-scale real-world dataset called DF3DV-1K is introduced to address the lack of clean and cluttered image sets for distractor-free radiance field research, containing 1,048 s…
Analysis of FID variance across different training and sampling seeds reveals significant reproducibility issues in image generation evaluation, with retraining causing larger fluc…
QG-MIL introduces a gated transformer aggregator for multiple instance learning in medical imaging that stabilizes attention distribution and improves prediction consistency across…
Qwen-RobotNav is a scalable navigation model with a parameterized interface enabling dynamic task modes and observation parameters, achieving state-of-the-art performance through m…
HydraHead is a novel attention hybridization architecture that combines Full Attention and Linear Attention at the head level, achieving superior long-context performance with redu…
Adaptive Binning introduces a training-adaptive discretization method for self-supervised learning on medical tabular data, improving representation learning through feature-wise r…
MemGUI-Agent addresses long-horizon mobile GUI task limitations through proactive context management using Context-as-Action (ConAct) to maintain critical information across extend…
Research examines how self-driving car systems and humans perform on visual question answering tasks across different geographic locations, revealing that both human and AI respons…
Vesta is a unified embodied generalist model that integrates localization, spatial reasoning, navigation, and long-horizon planning into a single foundation model, outperforming sp…
ENPIRE framework enables autonomous robotics research through a closed-loop system that automates policy improvement via environment feedback, policy refinement, and evolutionary c…
Nvidia's self-improvement program for robots enlists teams of AI coding agents.