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Counting Everyday Objects in Everyday Scenes

Counting Everyday Objects in Everyday Scenes

12 April 2016
Prithvijit Chattopadhyay
Ramakrishna Vedantam
Ramprasaath R. Selvaraju
Dhruv Batra
Devi Parikh
ArXivPDFHTML

Papers citing "Counting Everyday Objects in Everyday Scenes"

32 / 32 papers shown
Title
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
Anindya Mondal
Sauradip Nag
Xiatian Zhu
Anjan Dutta
36
3
0
08 Mar 2024
Enhancing Zero-shot Counting via Language-guided Exemplar Learning
Enhancing Zero-shot Counting via Language-guided Exemplar Learning
Mingjie Wang
Jun Zhou
Yong Dai
Eric Buys
Minglun Gong
41
0
0
08 Feb 2024
Zero-Shot Object Counting with Language-Vision Models
Zero-Shot Object Counting with Language-Vision Models
Jingyi Xu
Hieu M. Le
Dimitris Samaras
VLM
DiffM
35
5
0
22 Sep 2023
Zero-shot Object Counting
Zero-shot Object Counting
Jingyi Xu
Hieu M. Le
Vu Nguyen
Viresh Ranjan
Dimitris Samaras
34
42
0
03 Mar 2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
Mingjie Wang
Yande Li
Jun Zhou
Graham W. Taylor
Minglun Gong
23
11
0
10 Feb 2023
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection
D. Gaddam
Jean Lahoud
Fahad Shahbaz Khan
Rao Muhammad Anwer
Hisham Cholakkal
3DPC
29
0
0
13 Sep 2022
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects
K. Graczyk
J. Pawlowski
Sylwia Majchrowska
Tomasz Golan
28
9
0
15 Mar 2022
Scene-Adaptive Attention Network for Crowd Counting
Scene-Adaptive Attention Network for Crowd Counting
Xing Wei
Yuanrui Kang
Jihao Yang
Yunfeng Qiu
Dahu Shi
Wenming Tan
Yihong Gong
ViT
27
18
0
31 Dec 2021
AGAR a microbial colony dataset for deep learning detection
AGAR a microbial colony dataset for deep learning detection
Sylwia Majchrowska
J. Pawlowski
Grzegorz Gula
T. Bonus
Agata Hanas
Adam Loch
A. Pawlak
J. Roszkowiak
Tomasz Golan
Z. Drulis-Kawa
29
24
0
03 Aug 2021
Detecting Cattle and Elk in the Wild from Space
Detecting Cattle and Elk in the Wild from Space
Caleb Robinson
Anthony Ortiz
L. Hughey
Jared A. Stabach
J. L. Ferres
20
7
0
29 Jun 2021
Seeing past words: Testing the cross-modal capabilities of pretrained
  V&L models on counting tasks
Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks
Letitia Parcalabescu
Albert Gatt
Anette Frank
Iacer Calixto
LRM
33
48
0
22 Dec 2020
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
Mahesh Kumar Krishna Reddy
Mrigank Rochan
Yiwei Lu
Yang Wang
30
25
0
23 Oct 2020
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Liang Liu
Hao Lu
Hongwei Zou
Haipeng Xiong
Zhiguo Cao
Chunhua Shen
OffRL
27
70
0
16 Jul 2020
Overcoming Statistical Shortcuts for Open-ended Visual Counting
Overcoming Statistical Shortcuts for Open-ended Visual Counting
Corentin Dancette
Rémi Cadène
Xinlei Chen
Matthieu Cord
13
3
0
17 Jun 2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd
  Counting
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
Xiyang Liu
Jie Yang
Wenrui Ding
30
112
0
12 May 2020
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
Duy-Kien Nguyen
Vedanuj Goswami
Xinlei Chen
39
23
0
24 Apr 2020
CNN-based Density Estimation and Crowd Counting: A Survey
CNN-based Density Estimation and Crowd Counting: A Survey
Guangshuai Gao
Junyu Gao
Qingjie Liu
Qi. Wang
Yunhong Wang
24
154
0
28 Mar 2020
Rethinking Object Detection in Retail Stores
Yuanqiang Cai
Longyin Wen
Libo Zhang
Dawei Du
Weiqiang Wang
32
23
0
18 Mar 2020
Guided Attention Network for Object Detection and Counting on Drones
Guided Attention Network for Object Detection and Counting on Drones
Yuanqiang Cai
Dawei Du
Libo Zhang
Longyin Wen
Weiqiang Wang
Y. Wu
Siwei Lyu
19
58
0
25 Sep 2019
Bayesian Loss for Crowd Count Estimation with Point Supervision
Bayesian Loss for Crowd Count Estimation with Point Supervision
Zhiheng Ma
Xing Wei
Xiaopeng Hong
Yihong Gong
3DPC
48
483
0
10 Aug 2019
Scene Text Visual Question Answering
Scene Text Visual Question Answering
Ali Furkan Biten
Rubèn Pérez Tito
Andrés Mafla
Lluís Gómez
Marçal Rusiñol
Ernest Valveny
C. V. Jawahar
Dimosthenis Karatzas
39
343
0
31 May 2019
Aggregation Cross-Entropy for Sequence Recognition
Aggregation Cross-Entropy for Sequence Recognition
Zecheng Xie
Yaoxiong Huang
Yuanzhi Zhu
Lianwen Jin
Yuliang Liu
Lele Xie
27
92
0
17 Apr 2019
Object Counting and Instance Segmentation with Image-level Supervision
Object Counting and Instance Segmentation with Image-level Supervision
Hisham Cholakkal
Guolei Sun
Fahad Shahbaz Khan
Ling Shao
21
121
0
06 Mar 2019
Future semantic segmentation of time-lapsed videos with large temporal
  displacement
Future semantic segmentation of time-lapsed videos with large temporal displacement
Talha Ahmad Siddiqui
Samarth Bharadwaj
16
0
0
27 Dec 2018
Explicit Bias Discovery in Visual Question Answering Models
Explicit Bias Discovery in Visual Question Answering Models
Varun Manjunatha
Nirat Saini
L. Davis
CML
FAtt
19
92
0
19 Nov 2018
BubGAN: Bubble Generative Adversarial Networks for Synthesizing
  Realistic Bubbly Flow Images
BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images
Yucheng Fu
Yang Liu
GAN
15
42
0
07 Sep 2018
Interpretable Visual Question Answering by Reasoning on Dependency Trees
Interpretable Visual Question Answering by Reasoning on Dependency Trees
Qingxing Cao
Bailin Li
Xiaodan Liang
Liang Lin
33
55
0
06 Sep 2018
Compositional Attention Networks for Machine Reasoning
Compositional Attention Networks for Machine Reasoning
Drew A. Hudson
Christopher D. Manning
BDL
OOD
LRM
32
572
0
08 Mar 2018
Classification vs. Regression in Supervised Learning for Single Channel
  Speaker Count Estimation
Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation
Fabian-Robert Stöter
Soumitro Chakrabarty
B. Edler
Emanuel Habets
BDL
31
38
0
12 Dec 2017
It Takes Two to Tango: Towards Theory of AI's Mind
It Takes Two to Tango: Towards Theory of AI's Mind
Arjun Chandrasekaran
Deshraj Yadav
Prithvijit Chattopadhyay
Viraj Prabhu
Devi Parikh
41
54
0
03 Apr 2017
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
167
1,465
0
06 Jun 2016
End-to-End Instance Segmentation with Recurrent Attention
End-to-End Instance Segmentation with Recurrent Attention
Mengye Ren
R. Zemel
SSeg
30
61
0
30 May 2016
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