SOTAVerified

Zero-shot Generalization

Papers

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Showing 251–275 of 572 papers

TitleStatusHype
ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling—0
AoP-SAM: Automation of Prompts for Efficient Segmentation—0
RVTBench: A Benchmark for Visual Reasoning TasksCode0
GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge SubtractionCode0
Depth Anything with Any Prior—0
NVSPolicy: Adaptive Novel-View Synthesis for Generalizable Language-Conditioned Policy Learning—0
Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing—0
Visual Image Reconstruction from Brain Activity via Latent Representation—0
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence—0
Learning Graph Representation of Agent DiffusersCode0
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization—0
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution AlignmentCode0
A Review of 3D Object Detection with Vision-Language Models—0
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision—0
Dysarthria Normalization via Local Lie Group Transformations for Robust ASRCode0
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models—0
Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study—0
Thinking agents for zero-shot generalization to qualitatively novel tasks—0
Unpaired Object-Level SAR-to-Optical Image Translation for Aircraft with Keypoints-Guided Diffusion Models—0
Aether: Geometric-Aware Unified World Modeling—0
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation—0
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance—0
Good Actions Succeed, Bad Actions Generalize: A Case Study on Why RL Generalizes Better—0
GenM^3: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation—0
Learning with Expert Abstractions for Efficient Multi-Task Continuous ControlCode0
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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