Learning To Count Everything

16 April 2021

Papers citing "Learning To Count Everything"

23 / 23 papers shown

Title
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
FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting Huilin Zhu Jingling Yuan Zhengwei Yang Yu Guo Xian Zhong Shengfeng He 44 0 0 15 Feb 2025
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 99 0 0 31 Jan 2025
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios Baichuan Zhou Haote Yang Dairong Chen Junyan Ye Tianyi Bai Jinhua Yu Songyang Zhang Dahua Lin Conghui He Weijia Li VLM 58 3 0 30 Aug 2024
CountGD: Multi-Modal Open-World Counting Niki Amini-Naieni Tengda Han Andrew Zisserman ObjD 64 8 0 05 Jul 2024
PerSense: Personalized Instance Segmentation in Dense Images Muhammad Ibraheem Siddiqui Muhammad Umer Sheikh Hassan Abid Muhammad Haris Khan VLM 62 0 0 22 May 2024
Learning Spatial Similarity Distribution for Few-shot Object Counting Yuanwu Xu Feifan Song Haofeng Zhang 44 3 0 20 May 2024
UniFS: Universal Few-shot Instance Perception with Point Representations Sheng Jin Ruijie Yao Lumin Xu Wentao Liu Chao Qian Ji Wu Ping Luo 48 2 0 30 Apr 2024
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild Donggyun Kim Seongwoong Cho Semin Kim Chong Luo Seunghoon Hong VLM 45 2 0 29 Apr 2024
A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting Tsung-Han Chou Brian Wang Wei-Chen Chiu Jun-Cheng Chen 47 0 0 15 Apr 2024
Enhancing Zero-shot Counting via Language-guided Exemplar Learning Mingjie Wang Jun Zhou Yong Dai Eric Buys Minglun Gong 35 0 0 08 Feb 2024
Zero-Shot Object Counting with Language-Vision Models Jingyi Xu Hieu M. Le Dimitris Samaras VLM DiffM 35 4 0 22 Sep 2023
Interactive Class-Agnostic Object Counting Yifeng Huang Viresh Ranjan Minh Hoai 24 7 0 11 Sep 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 37 90 0 14 May 2023
Density Map Distillation for Incremental Object Counting Chenshen Wu Joost van de Weijer 24 2 0 11 Apr 2023
Zero-shot Object Counting Jingyi Xu Hieu M. Le Vu Nguyen Viresh Ranjan Dimitris Samaras 29 41 0 03 Mar 2023
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
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects Qi. Wang Juncheng Wang Junyuan Gao Yuan. Yuan Xuelong Li 33 2 0 02 Dec 2022
A Low-Shot Object Counting Network With Iterative Prototype Adaptation Nikola Djukic A. Lukežič Vitjan Zavrtanik Matej Kristan 19 45 0 15 Nov 2022
Novel 3D Scene Understanding Applications From Recurrence in a Single Image Shimian Zhang Skanda Bharadwaj Keaton Kraiger Yashasvi Asthana Hong Zhang R. Collins Yanxi Liu 33 1 0 14 Oct 2022
Exemplar Free Class Agnostic Counting Viresh Ranjan Minh Hoai 15 37 0 27 May 2022
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision Michael A. Hobley V. Prisacariu 47 36 0 20 May 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017