7 citations · 13 across the 37 of their papers we have counts for
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cs.CL2023
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
Jie Han, Yixiong Zou, Haozhao Wang +5
Few-shot intent classification and slot filling are important but challenging tasks due to the scarcity of finely labeled data. Therefore, current works first train a model on sour…
cs.CV2023★ 1 cited
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection
Zhimeng Xin, Tianxu Wu, Shiming Chen +3
Few-shot object detection (FSOD) identifies objects from extremely few annotated samples. Most existing FSOD methods, recently, apply the two-stage learning paradigm, which transfe…