Few-shot Object Counting and Detection

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Benchmarks

Most implemented

A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

2024-09-27 · 구현 1개

DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting

2024-04-25 · 구현 1개

Point Segment and Count: A Generalized Framework for Object Counting

2024-01-01 · 구현 1개

Few-shot Object Counting and Detection

2022-07-22 · 구현 1개

Papers

Few-Shot Pattern Detection via Template Matching and Regression

2025-08-25 · Eunchan Jo, Dahyun Kang, Sanghyun Kim, Yunseon Choi 외 arxiv

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 Detection

A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

2024-09-27 · Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik, Matej Kristan

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 Counting Few-shot Object Counting and Detection Object Object Counting+3

DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting

2024-04-25 · Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik, Matej Kristan

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 Counting Few-shot Object Counting and Detection Object Object Counting+1

Point Segment and Count: A Generalized Framework for Object Counting

2024-01-01 · CVPR 2024 1 · Zhizhong Huang, Mingliang Dai, Yi Zhang, Junping Zhang 외

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 Detection Knowledge Distillation Object Object Counting+2

Few-shot Object Counting and Detection

2022-07-22 · Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai

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 Detection Few-Shot Object Detection Object Object Counting+1

Few-shot Object Counting and Detection

Benchmarks

FSC147

Zero Shot Counting on FSC147

Most implemented

A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting

Point Segment and Count: A Generalized Framework for Object Counting

Few-shot Object Counting and Detection

Papers

Few-Shot Pattern Detection via Template Matching and Regression

A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting

Point Segment and Count: A Generalized Framework for Object Counting

Few-shot Object Counting and Detection