SOTAVerified

Few-shot Object Counting and Detection

Few-shot Object Counting and Detection aims to count and detect instances of objects of the same class as given exemplars within a single image, using only up to three exemplars from the original FSC147. This task is especially challenging but crucial when large datasets are unavailable. Methods for this task must output a single set of bounding boxes, from which the final count is derived based on the number of detected boxes.

Papers

Showing 14 of 4 papers

TitleStatusHype
A Novel Unified Architecture for Low-Shot Counting by Detection and SegmentationCode2
DAVE -- A Detect-and-Verify Paradigm for Low-Shot CountingCode2
Point Segment and Count: A Generalized Framework for Object CountingCode2
Few-shot Object Counting and DetectionCode1
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