Papers Few-shot Object Counting and Detection
“Few-shot Object Counting and Detection” 태그가 달린 논문 5편 · 필터 해제
Few-Shot Pattern Detection via Template Matching and Regression
We address the problem of few-shot pattern detection, which aims to detect all instances of a given pattern, typically represented by a few exemplars, from an input image. Although similar problems have been studied in f…
Few-shot Object Counting and DetectionA Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
Low-shot object counters estimate the number of objects in an image using few or no annotated exemplars. Objects are localized by matching them to prototypes, which are constructed by unsupervised image-wide object appea…
Exemplar-Free CountingFew-shot Object Counting and DetectionObjectObject Counting+3DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting
Low-shot counters estimate the number of objects corresponding to a selected category, based on only few or no exemplars annotated in the image. The current state-of-the-art estimates the total counts as the sum over the…
Exemplar-Free CountingFew-shot Object Counting and DetectionObjectObject Counting+1Point Segment and Count: A Generalized Framework for Object Counting
Class-agnostic object counting aims to count all objects in an image with respect to example boxes or class names a.k.a few-shot and zero-shot counting. In this paper we propose a generalized framework for both few-s…
Few-shot Object Counting and DetectionKnowledge DistillationObjectObject Counting+2Few-shot Object Counting and Detection
We tackle a new task of few-shot object counting and detection. Given a few exemplar bounding boxes of a target object class, we seek to count and detect all objects of the target class. This task shares the same supervi…
Few-shot Object Counting and DetectionFew-Shot Object DetectionObjectObject Counting+1