探究手绘草图的时间顺序对表示学习的影响，发现坐标位置比相对顺序更重要。
On the Temporality for Sketch Representation Learning
- 用绝对坐标建模草图序列优于相对编码
- 非自回归解码器性能超越自回归方法
- 时间顺序重要性因任务和顺序而异
草图是人类对复杂场景和现实物体的简单手绘抽象。尽管草图表示学习领域已取得显著进展，但对时间维度在表示质量中的真实作用仍缺乏理解。本文研究了将草图视为序列是否合理，以及何种内部顺序更相关。结果表明，虽然传统位置编码适用于建模草图序列，但绝对坐标始终优于相对坐标；此外，非自回归解码器表现优于自回归版本。最后，时间性的关键性取决于所考虑的顺序及具体任务。
原文摘要 · Abstract (English)
Sketches are simple human hand-drawn abstractions of complex scenes and real-world objects. Although the field of sketch representation learning has advanced significantly, there is still a gap in understanding the true relevance of the temporal aspect to the quality of these representations. This work investigates whether it is indeed justifiable to treat sketches as sequences, as well as which internal orders play a more relevant role. The results indicate that, although the use of traditional positional encodings is valid for modeling sketches as sequences, absolute coordinates consistently outperform relative ones. Furthermore, non-autoregressive decoders outperform their autoregressive counterparts. Finally, the importance of temporality was shown to depend on both the order considered and the task evaluated.
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