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

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

25 April 2024
Jer Pelhan
A. Lukežič
Vitjan Zavrtanik
Matej Kristan
ArXivPDFHTML

Papers citing "DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting"

15 / 15 papers shown
Title
Learning What NOT to Count
Learning What NOT to Count
Adriano DÁlessandro
Ali Mahdavi-Amiri
Ghassan Hamarneh
27
0
0
16 Apr 2025
Exploring Contextual Attribute Density in Referring Expression Counting
Exploring Contextual Attribute Density in Referring Expression Counting
Zhicheng Wang
Zhiyu Pan
Zhan Peng
Jian Cheng
Liwen Xiao
Wei Jiang
Zhiguo Cao
42
0
0
16 Mar 2025
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization
Yuda Zou
Zelong Liu
Yuliang Gu
Bo Du
Yongchao Xu
56
0
0
16 Mar 2025
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
Yifei Qian
Zhongliang Guo
Bowen Deng
Chun Tong Lei
Shuai Zhao
Chun Pong Lau
Xiaopeng Hong
Michael P. Pound
DiffM
59
0
0
28 Feb 2025
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
Luca Ciampi
Ali Azmoudeh
Elif Ecem Akbaba
Erdi Sarıtaş
Ziya Ata Yazıcı
H. K. Ekenel
Giuseppe Amato
Fabrizio Falchi
97
0
0
31 Jan 2025
PanSR: An Object-Centric Mask Transformer for Panoptic Segmentation
PanSR: An Object-Centric Mask Transformer for Panoptic Segmentation
Lojze Žust
Matej Kristan
ViT
69
1
0
13 Dec 2024
A Novel Unified Architecture for Low-Shot Counting by Detection and
  Segmentation
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
Jer Pelhan
A. Lukežič
Vitjan Zavrtanik
Matej Kristan
ObjD
13
3
0
27 Sep 2024
Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic
  Counting
Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting
Luca Ciampi
Nicola Messina
Matteo Pierucci
Giuseppe Amato
M. Avvenuti
Fabrizio Falchi
15
1
0
24 Sep 2024
GCA-SUNet: A Gated Context-Aware Swin-UNet for Exemplar-Free Counting
GCA-SUNet: A Gated Context-Aware Swin-UNet for Exemplar-Free Counting
Yuzhe Wu
Yipeng Xu
Tianyu Xu
Jialu Zhang
Jianfeng Ren
Xudong Jiang
18
0
0
18 Sep 2024
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in
  Videos
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
Andrew Zisserman
27
2
0
24 Jul 2024
CountGD: Multi-Modal Open-World Counting
CountGD: Multi-Modal Open-World Counting
Niki Amini-Naieni
Tengda Han
Andrew Zisserman
ObjD
56
7
0
05 Jul 2024
PerSense: Personalized Instance Segmentation in Dense Images
PerSense: Personalized Instance Segmentation in Dense Images
Muhammad Ibraheem Siddiqui
Muhammad Umer Sheikh
Hassan Abid
Muhammad Haris Khan
VLM
55
0
0
22 May 2024
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
35
0
20 May 2022
Few-shot Object Counting with Similarity-Aware Feature Enhancement
Few-shot Object Counting with Similarity-Aware Feature Enhancement
Zhiyuan You
Kai Yang
Wenhan Luo
X. Lu
Lei Cui
Xinyi Le
37
66
0
22 Jan 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
243
11,659
0
09 Mar 2017
1