Zero-shot Generalization
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Benchmarks
CALVIN
Most implemented
Multitask Prompted Training Enables Zero-Shot Task Generalization
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Papers
Sensor-Language-Action Models
Sensors are useful not only for understanding the world but also for deciding what to do next. Existing sensor models however largely stop at perception: they recognize states or predict outcomes, leaving actions modeled…
Zero-shot GeneralizationMotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation
Vision-language-action (VLA) models have advanced robotic manipulation, but their zero-shot generalization in new tasks and environments remains limited, and their reliance on specialized training keeps them from benefit…
Zero-shot GeneralizationRobot ManipulationVisual GroundingSentZero: An Enhanced Sentence-Centric Vision-Language Pretraining for Multi-Task Zero-Shot Chest X-Ray Analysis
Vision-language (VL) pretraining using paired chest X-ray (CXR) images and radiology reports has shown strong potential for medical image understanding. However, existing methods often remain dependent on task-specific f…
Zero-shot GeneralizationContrastive LearningDex-X: Learning Visual-Tactile Dexterous Manipulation From Human Videos with Simulated Interaction
Human videos are an abundant source of dexterous manipulation behaviors, but they lack tactile information that is crucial for contact-rich interaction. This raises a fundamental question: can robots learn deployable vis…
Zero-shot GeneralizationRelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting
Image relighting is traditionally tackled via complex inverse rendering pipelines, which suffer from ill-posed optimization, or single-image generative models that ignore crucial multi-view cues necessary for understandi…
Zero-shot GeneralizationInverse RenderingImage RelightingLightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation
Embodied navigation requires agents to translate heterogeneous goals and visual observations into actions across tasks, environments, and robot embodiments. Modern vision-language models (VLMs) already encode spatial pri…
Zero-shot GeneralizationReinforcement LearningInstruction FollowingSpatial Reasoning