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Object Counting: You Only Need to Look at One

Object Counting: You Only Need to Look at One

11 December 2021
Hui Lin
Xiaopeng Hong
Yabin Wang
ArXivPDFHTML

Papers citing "Object Counting: You Only Need to Look at One"

5 / 5 papers shown
Title
Learning Spatial Similarity Distribution for Few-shot Object Counting
Learning Spatial Similarity Distribution for Few-shot Object Counting
Yuanwu Xu
Feifan Song
Haofeng Zhang
36
3
0
20 May 2024
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
Nikola Djukic
A. Lukežič
Vitjan Zavrtanik
Matej Kristan
14
45
0
15 Nov 2022
Semi-supervised Crowd Counting via Density Agency
Semi-supervised Crowd Counting via Density Agency
Hui Lin
Zhiheng Ma
Xiaopeng Hong
Yao Wang
Zhou Su
OT
23
29
0
07 Sep 2022
Learning to Count Anything: Reference-less Class-agnostic Counting with
  Weak Supervision
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Michael A. Hobley
V. Prisacariu
39
36
0
20 May 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
1