2 citations · 3 across the 4 of their papers we have counts for
4 papers
Zero-Shot Object Counting with Language-Vision Models
Jingyi Xu, Hieu Le, Dimitris Samaras
Class-agnostic object counting aims to count object instances of an arbitrary class at test time. It is challenging but also enables many potential applications. Current methods re…
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…
Zero-shot Object Counting
Jingyi Xu, Hieu Le, Vu Nguyen +2
Class-agnostic object counting aims to count object instances of an arbitrary class at test time. It is challenging but also enables many potential applications. Current methods re…
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…