Tag: Classification
All the articles with the tag "Classification".
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Label-efficient Single Photon Images Classification via Active Learning
This paper proposes an active learning framework for single-photon image classification that uses imaging condition-aware synthetic augmentation and a diversity-guided uncertainty-inconsistency sampling strategy to achieve high accuracy (97% on synthetic, 90.63% on real-world data) with significantly fewer labeled samples (1.5% and 8%, respectively) compared to baselines.
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Test-time Correlation Alignment
本文提出测试时相关性对齐(TCA)范式,通过构建伪源域相关性并应用线性变换对齐测试数据特征,显著提升测试时适应(TTA)性能,同时保持高效性和源域知识。
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Attention Retrieves, MLP Memorizes: Disentangling Trainable Components in the Transformer
本文通过冻结Transformer组件并提出MixiT模型,揭示了自注意力机制在检索和语言建模中的输入依赖性必要性,以及MLP层在记忆中的主导作用,强调了架构异质性对任务解决的重要性。
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Gameplay Highlights Generation
This paper presents a method to generate gameplay highlight reels by finetuning the X-CLIP multimodal model on an in-house FPS game dataset, achieving over 90% event detection accuracy and demonstrating transfer learning, while optimizing deployment through quantization.
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MINGLE: Mixtures of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging
MINGLE提出了一种测试时持续模型合并方法,通过混合低秩专家架构和自适应空空间约束门控,利用少量无标签测试样本动态融合模型,显著提升了持续学习中的泛化性能并减少了灾难性遗忘。