| 1 |
SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucination Mitigation |
提出SAVOR以解决多模态幻觉问题 |
reinforcement learning DPO large language model |
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| 2 |
sensVLA: Spatially-Grounded Vision-Language-Action Model for Autonomous Wheel Loader |
提出sensVLA以解决自主轮式装载机控制问题 |
flow matching egocentric egocentric vision |
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| 3 |
HLC-GS: Risk-Map-Guided Height-Layer Consistency Gaussian Splatting for DSM Reconstruction from Optical Satellite Imagery |
提出HLC-GS以解决DSM重建中的高度层混合问题 |
MAE 3D gaussian splatting 3DGS |
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| 4 |
Bi-FlowGS: Bridging Generative View Completion and Gaussian Geometry through Bidirectional Flow Co-Refinement |
提出Bi-FlowGS以解决稀疏视图3D重建中的几何欺骗问题 |
distillation 3D gaussian splatting 3DGS |
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| 5 |
Unifying Semantic Priors and High-Frequency Traces: Enhancing V-JEPA with Mixture-of-Experts for Robust Synthetic Image Forensics |
提出MoE-JEPA以解决深度伪造图像检测问题 |
world model world models JEPA |
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| 6 |
Hub-Spectral Activation of Latent Multimodal Knowledge |
提出Hub-Spectral Activation以解决多模态知识激活问题 |
representation learning multimodal |
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| 7 |
SPEAR NeXT Causal Latent Forecasting Across Multiple Horizons for Spectral Temporal Earth Representation Learning |
提出SPEAR NeXT以解决地球观测中的时序预测问题 |
representation learning foundation model multimodal |
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| 8 |
RegRet: Enhancing Region-Level Retrieval in Large Multimodal Models |
提出RegRet以解决大规模多模态模型中的区域级检索问题 |
contrastive learning multimodal |
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| 9 |
Efficient Quantization-Aware Distillation with Cross-Modal Alignment for Edge Vision-Language Models |
提出统一框架以提高边缘视觉语言模型的量化蒸馏效率 |
contrastive learning distillation open-vocabulary |
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| 10 |
MedPCFM-TED: One-Step Point Cloud Flow Matching for Implant Generation via Teacher-Guided Endpoint Distillation |
提出Teacher-Guided Endpoint Distillation以加速颅骨植入物生成 |
flow matching distillation |
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| 11 |
Can Knowledge Transfer Parameters Be Learned? LePoKet for Efficient Robotic Vision |
提出LePoKet以解决机器人视觉中的知识转移问题 |
distillation optical flow motion estimation |
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| 12 |
MAETrack: Unleashing the Potential of Pretrained Geometric Priors for 3D Single Object Tracking |
提出MAETrack以解决3D单目标跟踪中的预训练几何先验转移问题 |
representation learning masked autoencoder MAE |
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| 13 |
Hyper-RED: Scalable Event Pre-training via Semantic Hypergraph Distillation |
提出Hyper-RED以解决事件表示学习中的数据稀缺问题 |
representation learning distillation |
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| 14 |
Which Pretext Task Transfers? Self-Supervised Pretraining Objectives for Lung Ultrasound |
比较三种自监督预训练目标以优化肺部超声图像分析 |
JEPA Joint-Embedding Predictive Architecture joint-embedding predictive architecture |
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| 15 |
Channel-Wise and Token-Aware Post-Training Quantization for Visual State Space Duality |
提出CTOAC方法以解决VSSD低比特量化问题 |
Mamba SSM state space model |
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