SOTAVerified

Zero-shot Generalization

Papers

Showing 151175 of 572 papers

TitleStatusHype
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction FollowingCode1
OW-OVD: Unified Open World and Open Vocabulary Object DetectionCode1
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical ImagesCode1
Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion GuidanceCode1
Contextualize Me -- The Case for Context in Reinforcement LearningCode1
OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data SynthesisCode1
A Universal Discriminator for Zero-Shot GeneralizationCode1
FluoroSAM: A Language-aligned Foundation Model for X-ray Image SegmentationCode1
A Multi-Task BERT Model for Schema-Guided Dialogue State TrackingCode1
Improving Zero-shot Generalization and Robustness of Multi-modal ModelsCode1
COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detectionCode1
FRESA:Feedforward Reconstruction of Personalized Skinned Avatars from Few ImagesCode1
Improving Zero-Shot Object-Level Change Detection by Incorporating Visual CorrespondenceCode1
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-InCode1
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly DetectionsCode1
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTVCode1
Equivariant Image ModelingCode1
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold MixupCode1
Improving Zero-Shot Generalization for CLIP with Synthesized PromptsCode1
IRanker: Towards Ranking Foundation ModelCode1
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon PredictionCode1
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot LabelsCode1
PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose EstimationCode1
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networksCode1
Neural Disparity Refinement for Arbitrary Resolution StereoCode1
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Benchmark Results

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