SOTAVerified

Zero-shot Generalization

Papers

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Showing 51–75 of 572 papers

TitleStatusHype
Collaborative Decoding Makes Visual Auto-Regressive Modeling EfficientCode2
WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language ModelsCode2
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation CapabilitiesCode2
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model DisentanglementCode2
PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimageCode2
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTSCode2
GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned PolicyCode2
OpenCity: Open Spatio-Temporal Foundation Models for Traffic PredictionCode2
HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image PriorsCode2
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge DistillationCode2
RoboUniView: Visual-Language Model with Unified View Representation for Robotic ManipulationCode2
GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation ModelsCode2
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language ModelsCode2
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?Code2
GeoSynth: Contextually-Aware High-Resolution Satellite Image SynthesisCode2
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model PerformanceCode2
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language ReasoningCode2
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion ModelCode2
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation ModelCode2
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTVCode2
Learning to Route Among Specialized Experts for Zero-Shot GeneralizationCode2
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot LearningCode2
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with InstructionsCode2
Semantic Guidance Tuning for Text-To-Image Diffusion ModelsCode2
Unleashing Large-Scale Video Generative Pre-training for Visual Robot ManipulationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GR-MGAvg. sequence length4.04—Unverified
2MoDEAvg. sequence length4.01—Unverified
3RoboUniViewAvg. sequence length3.65—Unverified
43D Diffuser ActorAvg. sequence length3.27—Unverified
5GR-1Avg. sequence length3.06—Unverified