HELP uses heatmap-guided positional embeddings and a gradient mask to suppress background noise in queries, enabling efficient small-object detection with fewer decoder layers and parameters.
The footprint of factorization models and their applications in collaborative filtering.ACM Transactions on Information Systems (TOIS), 40(4):1–32, 2021
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Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection
HELP uses heatmap-guided positional embeddings and a gradient mask to suppress background noise in queries, enabling efficient small-object detection with fewer decoder layers and parameters.