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cs.CV2023★ 1 cited
Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting
Jingyi Xu, Hieu Le, Dimitris Samaras
Class-agnostic counting (CAC) has numerous potential applications across various domains. The goal is to count objects of an arbitrary category during testing, based on only a few…
cs.CV2023★ 2 cited
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
Jingyi Xu, Hieu Le, Dimitris Samaras
Two-stage object detectors generate object proposals and classify them to detect objects in images. These proposals often do not contain the objects perfectly but overlap with them…