Image de couverture de livre

Point, Segment and Count: A Generalized Framework for Object Counting

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Zhizhong, Dai, Mingliang, Zhang, Yi, Zhang, Junping, Shan, Hongming
Format:	Preprint
Publié:	2023
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

YOLO-Count: Differentiable Object Counting for Text-to-Image Generation
par: Zeng, Guanning, et autres
Publié: (2025)

DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection
par: Ye, Jiaxin, et autres
Publié: (2024)

Shifted Autoencoders for Point Annotation Restoration in Object Counting
par: Zou, Yuda, et autres
Publié: (2023)

Counting Stacked Objects
par: Dumery, Corentin, et autres
Publié: (2024)

CountSteer: Steering Attention for Object Counting in Diffusion Models
par: Boo, Hyemin, et autres
Publié: (2025)

TFCounter:Polishing Gems for Training-Free Object Counting
par: Ting, Pan, et autres
Publié: (2024)

Dense Center-Direction Regression for Object Counting and Localization with Point Supervision
par: Tabernik, Domen, et autres
Publié: (2024)

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
par: Gao, Qi, et autres
Publié: (2023)

Generalized-Scale Object Counting with Gradual Query Aggregation
par: Pelhan, Jer, et autres
Publié: (2025)

FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT Denoising
par: Chen, Zhihao, et autres
Publié: (2025)

Getting to the Point: Pointing Improves LVLMs at Counting
par: Alghisi, Simone, et autres
Publié: (2026)

Learning Spatial Similarity Distribution for Few-shot Object Counting
par: Xu, Yuanwu, et autres
Publié: (2024)

Counting Through Occlusion: Framework for Open World Amodal Counting
par: Arib, Safaeid Hossain, et autres
Publié: (2025)

Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet
par: Zhang, Xiaoyu, et autres
Publié: (2025)

SIAM: A Simple Alternating Mixer for Video Prediction
par: Zheng, Xin, et autres
Publié: (2023)

CountGD++: Generalized Prompting for Open-World Counting
par: Amini-Naieni, Niki, et autres
Publié: (2025)

CountFormer: A Transformer Framework for Learning Visual Repetition and Structure in Class-Agnostic Object Counting
par: Hossain, Md Tanvir, et autres
Publié: (2025)

Decoupling What to Count and Where to See for Referring Expression Counting
par: Zou, Yuda, et autres
Publié: (2025)

CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation
par: Luo, Zhuoyan, et autres
Publié: (2024)

Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting
par: Zhang, Da, et autres
Publié: (2026)

Bootstrapping MLLM for Weakly-Supervised Class-Agnostic Object Counting
par: Zhang, Xiaowen, et autres
Publié: (2026)

Text-promptable Object Counting via Quantity Awareness Enhancement
par: Shi, Miaojing, et autres
Publié: (2025)

CountFormer: Multi-View Crowd Counting Transformer
par: Mo, Hong, et autres
Publié: (2024)

GraphMAR: Geometry-Aware Graph Learning Framework for Spatially Adaptive CT Metal Artifact Reduction
par: Li, Zilong, et autres
Publié: (2026)

CountEx: Fine-Grained Counting via Exemplars and Exclusion
par: Huang, Yifeng, et autres
Publié: (2026)

Zero-shot Object Counting with Good Exemplars
par: Zhu, Huilin, et autres
Publié: (2024)

Automated Counting of Stacked Objects in Industrial Inspection
par: Dumery, Corentin, et autres
Publié: (2026)

Tree Counting by Bridging 3D Point Clouds with Imagery
par: Li, Lei, et autres
Publié: (2024)

EFCNet: Every Feature Counts for Small Medical Object Segmentation
par: Kong, Lingjie, et autres
Publié: (2024)

FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
par: Zhu, Huilin, et autres
Publié: (2025)

HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
par: Chen, Tao, et autres
Publié: (2024)

A Fixed-Point Approach to Unified Prompt-Based Counting
par: Lin, Wei, et autres
Publié: (2024)

Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
par: Lin, Wei, et autres
Publié: (2025)

Remote Sensing Object Counting with Online Knowledge Learning
par: Jiang, Shengqin, et autres
Publié: (2023)

RGB-D Indiscernible Object Counting in Underwater Scenes
par: Sun, Guolei, et autres
Publié: (2023)

Expanding Zero-Shot Object Counting with Rich Prompts
par: Zhu, Huilin, et autres
Publié: (2025)

Diffusion-based Data Augmentation for Object Counting Problems
par: Wang, Zhen, et autres
Publié: (2024)

The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting
par: Dumery, Corentin, et autres
Publié: (2026)

CountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting
par: He, Hulingxiao, et autres
Publié: (2024)

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion
par: Li, Yanyu, et autres
Publié: (2025)