Cover Image

Robust Zero-Shot Crowd Counting and Localization With Adaptive Resolution SAM

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wan, Jia, Wu, Qiangqiang, Lin, Wei, Chan, Antoni B.
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exclusivity-Guided Mask Learning for Semi-Supervised Crowd Instance Segmentation and Counting
by: Huang, Jiyang, et al.
Published: (2026)

Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
by: Lin, Wei, et al.
Published: (2025)

Embodied Crowd Counting
by: Long, Runling, et al.
Published: (2025)

Density-based Object Detection in Crowded Scenes
by: Zhao, Chenyang, et al.
Published: (2025)

3D Crowd Counting via Geometric Attention-guided Multi-View Fusion
by: Zhang, Qi, et al.
Published: (2020)

Active View Selection for Scene-level Multi-view Crowd Counting and Localization with Limited Labels
by: Zhang, Qi, et al.
Published: (2025)

Learning Tracking Representations from Single Point Annotations
by: Wu, Qiangqiang, et al.
Published: (2024)

Dense Point-to-Mask Optimization with Reinforced Point Selection for Crowd Instance Segmentation
by: Chen, Hongru, et al.
Published: (2026)

A Fixed-Point Approach to Unified Prompt-Based Counting
by: Lin, Wei, et al.
Published: (2024)

Local Information Matters: A Rethink of Crowd Counting
by: Pan, Tianhang, et al.
Published: (2025)

Semi-Supervised Multi-View Crowd Counting by Ranking Multi-View Fusion Models
by: Zhang, Qi, et al.
Published: (2025)

Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization
by: Zhang, Qi, et al.
Published: (2024)

One-Shot Crowd Counting With Density Guidance For Scene Adaptation
by: Chen, Jiwei, et al.
Published: (2026)

DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Tasks
by: Wu, Qiangqiang, et al.
Published: (2023)

Single Domain Generalization for Crowd Counting
by: Peng, Zhuoxuan, et al.
Published: (2024)

EHNet: An Efficient Hybrid Network for Crowd Counting and Localization
by: Yan, Yuqing, et al.
Published: (2025)

Video Individual Counting for Moving Drones
by: Fan, Yaowu, et al.
Published: (2025)

Bound Tightening Network for Robust Crowd Counting
by: Wu, Qiming
Published: (2024)

M2P: Improving Visual Foundation Models with Mask-to-Point Weakly-Supervised Learning for Dense Point Tracking
by: Wu, Qiangqiang, et al.
Published: (2026)

Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes
by: Cai, Zhi, et al.
Published: (2024)

DistinctAD: Distinctive Audio Description Generation in Contexts
by: Fang, Bo, et al.
Published: (2024)

Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders
by: Fang, Bo, et al.
Published: (2025)

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods
by: Fan, Yaowu, et al.
Published: (2026)

SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
by: Lin, Jiehong, et al.
Published: (2023)

ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling
by: Ma, Yiming, et al.
Published: (2025)

ViSS-R1: Self-Supervised Reinforcement Video Reasoning
by: Fang, Bo, et al.
Published: (2025)

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation
by: Dutta, Tapas Kumar, et al.
Published: (2024)

RACANet: Reliability-Aware Crowd Anchor Network for RGB-T Crowd Counting
by: Shi, Jinghao, et al.
Published: (2026)

CountZES: Counting via Zero-Shot Exemplar Selection
by: Siddiqui, Muhammad Ibraheem, et al.
Published: (2025)

The Effectiveness of a Simplified Model Structure for Crowd Counting
by: Chen, Lei, et al.
Published: (2024)

Towards Completeness: A Generalizable Action Proposal Generator for Zero-Shot Temporal Action Localization
by: Du, Jia-Run, et al.
Published: (2024)

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
by: Li, Shengze, et al.
Published: (2024)

RCCFormer: A Robust Crowd Counting Network Based on Transformer
by: Liu, Peng, et al.
Published: (2025)

Density Estimation and Crowd Counting
by: Sunil, Balachandra Devarangadi, et al.
Published: (2025)

SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
by: Peng, Yun, et al.
Published: (2024)

CountFormer: Multi-View Crowd Counting Transformer
by: Mo, Hong, et al.
Published: (2024)

Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning
by: Pan, Tianhang, et al.
Published: (2024)

CrowdMoGen: Zero-Shot Text-Driven Collective Motion Generation
by: Cao, Yukang, et al.
Published: (2024)

Multi-View Crowd Counting With Self-Supervised Learning
by: Mo, Hong, et al.
Published: (2025)

Expanding Zero-Shot Object Counting with Rich Prompts
by: Zhu, Huilin, et al.
Published: (2025)