| 1 |
Polos: Multimodal Metric Learning from Human Feedback for Image Captioning |
提出Polos以解决图像描述模型评估中的人类反馈问题 |
contrastive learning multimodal |
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| 2 |
CFDNet: A Generalizable Foggy Stereo Matching Network with Contrastive Feature Distillation |
提出CFDNet以解决雾霾场景下的立体匹配问题 |
contrastive learning distillation depth estimation |
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| 3 |
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization |
提出多级优化掩蔽学习以提升自监督视觉表示学习效果 |
representation learning masked autoencoder MAE |
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| 4 |
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation |
提出MambaMIR以解决医学图像重建与不确定性估计问题 |
Mamba representation learning |
✅ |
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| 5 |
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection |
提出DRET与SRKD以解决雨天3D目标检测问题 |
distillation |
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| 6 |
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation |
提出PRCL框架以增强半监督语义分割的鲁棒性 |
contrastive learning |
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| 7 |
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport |
提出ProtoOT以解决无监督跨域图像检索问题 |
representation learning contrastive learning |
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