SOTAVerified

Zero-shot Generalization

Papers

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Showing 401–425 of 572 papers

TitleStatusHype
Decision Transformer as a Foundation Model for Partially Observable Continuous Control—0
F^2Depth: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis—0
Federated reinforcement learning for robot motion planning with zero-shot generalization—0
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets—0
Temporal-spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of cine CMR Segmentation—0
SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration—0
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models—0
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model—0
SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt DenoisingCode0
Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality imagesCode0
ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance LabelingCode0
Zero-shot generalization across architectures for visual classificationCode0
ISCUTE: Instance Segmentation of Cables Using Text Embedding—0
From Real World to Logic and Back: Learning Generalizable Relational Concepts For Long Horizon Robot Planning—0
Unsupervised Discovery of Object-Centric Neural Fields—0
On the Out-Of-Distribution Generalization of Multimodal Large Language Models—0
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology ControlCode0
InCoRo: In-Context Learning for Robotics Control with Feedback Loops—0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model—0
Data-Free Generalized Zero-Shot LearningCode0
Solving Continual Offline Reinforcement Learning with Decision Transformer—0
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models—0
TimeGraphs: Graph-based Temporal Reasoning—0
ConfusionPrompt: Practical Private Inference for Online Large Language Models—0
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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