Decoupling What to Count and Where to See for Referring Expression Counting
Fuente:
arXiv
Saved in:
| Main Authors: | Zou, Yuda, Zhang, Zijian, Xu, Yongchao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization
by: Zou, Yuda, et al.
Published: (2025)
by: Zou, Yuda, et al.
Published: (2025)
Shifted Autoencoders for Point Annotation Restoration in Object Counting
by: Zou, Yuda, et al.
Published: (2023)
by: Zou, Yuda, et al.
Published: (2023)
Improving Contrastive Learning for Referring Expression Counting
by: Triaridis, Kostas, et al.
Published: (2025)
by: Triaridis, Kostas, et al.
Published: (2025)
Exploring Contextual Attribute Density in Referring Expression Counting
by: Wang, Zhicheng, et al.
Published: (2025)
by: Wang, Zhicheng, et al.
Published: (2025)
Rethinking Cell Counting Methods: Decoupling Counting and Localization
by: Zheng, Zixuan, et al.
Published: (2025)
by: Zheng, Zixuan, et al.
Published: (2025)
RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes
by: Sun, Zhichao, et al.
Published: (2025)
by: Sun, Zhichao, et al.
Published: (2025)
Can Current AI Models Count What We Mean, Not What They See? A Benchmark and Systematic Evaluation
by: Nguyen, Gia Khanh, et al.
Published: (2025)
by: Nguyen, Gia Khanh, et al.
Published: (2025)
CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation
by: Luo, Zhuoyan, et al.
Published: (2024)
by: Luo, Zhuoyan, et al.
Published: (2024)
YOLO-Count: Differentiable Object Counting for Text-to-Image Generation
by: Zeng, Guanning, et al.
Published: (2025)
by: Zeng, Guanning, et al.
Published: (2025)
CountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting
by: He, Hulingxiao, et al.
Published: (2024)
by: He, Hulingxiao, et al.
Published: (2024)
FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
by: Zhu, Huilin, et al.
Published: (2025)
by: Zhu, Huilin, et al.
Published: (2025)
Point, Segment and Count: A Generalized Framework for Object Counting
by: Huang, Zhizhong, et al.
Published: (2023)
by: Huang, Zhizhong, et al.
Published: (2023)
CountFormer: Multi-View Crowd Counting Transformer
by: Mo, Hong, et al.
Published: (2024)
by: Mo, Hong, et al.
Published: (2024)
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision
by: Fuller, Anthony, et al.
Published: (2025)
by: Fuller, Anthony, et al.
Published: (2025)
Counting Stacked Objects
by: Dumery, Corentin, et al.
Published: (2024)
by: Dumery, Corentin, et al.
Published: (2024)
CountGD++: Generalized Prompting for Open-World Counting
by: Amini-Naieni, Niki, et al.
Published: (2025)
by: Amini-Naieni, Niki, et al.
Published: (2025)
CountGD: Multi-Modal Open-World Counting
by: Amini-Naieni, Niki, et al.
Published: (2024)
by: Amini-Naieni, Niki, et al.
Published: (2024)
CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion
by: Li, Yanyu, et al.
Published: (2025)
by: Li, Yanyu, et al.
Published: (2025)
Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild
by: Huang, Yifeng, et al.
Published: (2023)
by: Huang, Yifeng, et al.
Published: (2023)
Count Anything
by: Lei, Mengqi, et al.
Published: (2026)
by: Lei, Mengqi, et al.
Published: (2026)
Counting Through Occlusion: Framework for Open World Amodal Counting
by: Arib, Safaeid Hossain, et al.
Published: (2025)
by: Arib, Safaeid Hossain, et al.
Published: (2025)
CountZES: Counting via Zero-Shot Exemplar Selection
by: Siddiqui, Muhammad Ibraheem, et al.
Published: (2025)
by: Siddiqui, Muhammad Ibraheem, et al.
Published: (2025)
CountSteer: Steering Attention for Object Counting in Diffusion Models
by: Boo, Hyemin, et al.
Published: (2025)
by: Boo, Hyemin, et al.
Published: (2025)
CountEx: Fine-Grained Counting via Exemplars and Exclusion
by: Huang, Yifeng, et al.
Published: (2026)
by: Huang, Yifeng, et al.
Published: (2026)
Plant Taxonomy Meets Plant Counting: A Fine-Grained, Taxonomic Dataset for Counting Hundreds of Plant Species
by: Xu, Jinyu, et al.
Published: (2026)
by: Xu, Jinyu, et al.
Published: (2026)
Learning Spatial Similarity Distribution for Few-shot Object Counting
by: Xu, Yuanwu, et al.
Published: (2024)
by: Xu, Yuanwu, et al.
Published: (2024)
Embodied Crowd Counting
by: Long, Runling, et al.
Published: (2025)
by: Long, Runling, et al.
Published: (2025)
Counting Machine Parts
by: Arockiaraj, Benedict Florance, et al.
Published: (2026)
by: Arockiaraj, Benedict Florance, et al.
Published: (2026)
Counting Hallucinations in Diffusion Models
by: Fu, Shuai, et al.
Published: (2025)
by: Fu, Shuai, et al.
Published: (2025)
DLA-Count: Dynamic Label Assignment Network for Dense Cell Distribution Counting
by: Yan, Yuqing, et al.
Published: (2025)
by: Yan, Yuqing, et al.
Published: (2025)
CountXplain: Interpretable Cell Counting with Prototype-Based Density Map Estimation
by: Mohammed, Abdurahman Ali, et al.
Published: (2025)
by: Mohammed, Abdurahman Ali, et al.
Published: (2025)
Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
by: Chen, Junyi, et al.
Published: (2024)
by: Chen, Junyi, et al.
Published: (2024)
CountLLM: Towards Generalizable Repetitive Action Counting via Large Language Model
by: Yao, Ziyu, et al.
Published: (2025)
by: Yao, Ziyu, et al.
Published: (2025)
Does it Really Count? Assessing Semantic Grounding in Text-Guided Class-Agnostic Counting
by: Pacini, Giacomo, et al.
Published: (2026)
by: Pacini, Giacomo, et al.
Published: (2026)
Automated Counting of Stacked Objects in Industrial Inspection
by: Dumery, Corentin, et al.
Published: (2026)
by: Dumery, Corentin, et al.
Published: (2026)
Density Estimation and Crowd Counting
by: Sunil, Balachandra Devarangadi, et al.
Published: (2025)
by: Sunil, Balachandra Devarangadi, et al.
Published: (2025)
Learning to Count without Annotations
by: Knobel, Lukas, et al.
Published: (2023)
by: Knobel, Lukas, et al.
Published: (2023)
Count Anything at Any Granularity
by: Liu, Chang, et al.
Published: (2026)
by: Liu, Chang, et al.
Published: (2026)
CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones
by: Pacini, Giacomo, et al.
Published: (2025)
by: Pacini, Giacomo, et al.
Published: (2025)
Video Individual Counting With Implicit One-to-Many Matching
by: Zhu, Xuhui, et al.
Published: (2025)
by: Zhu, Xuhui, et al.
Published: (2025)
Similar Items
-
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization
by: Zou, Yuda, et al.
Published: (2025) -
Shifted Autoencoders for Point Annotation Restoration in Object Counting
by: Zou, Yuda, et al.
Published: (2023) -
Improving Contrastive Learning for Referring Expression Counting
by: Triaridis, Kostas, et al.
Published: (2025) -
Exploring Contextual Attribute Density in Referring Expression Counting
by: Wang, Zhicheng, et al.
Published: (2025) -
Rethinking Cell Counting Methods: Decoupling Counting and Localization
by: Zheng, Zixuan, et al.
Published: (2025)