CountGD: Multi-Modal Open-World Counting

5 July 2024

Papers citing "CountGD: Multi-Modal Open-World Counting"

8 / 8 papers shown

Title
Automated Detection of Salvin's Albatrosses: Improving Deep Learning Tools for Aerial Wildlife Surveys Mitchell Rogers Theo Thompson Isla Duporge Johannes Fischer Klemens Pütz Thomas Mattern Bing Xue Mengjie Zhang 7 0 0 15 May 2025
SDVPT: Semantic-Driven Visual Prompt Tuning for Open-World Object Counting Yiming Zhao Guorong Li Laiyun Qing Amin Beheshti Jian Yang Michael Sheng Yuankai Qi Qingming Huang VLM VPVLM 75 0 0 24 Apr 2025
CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting Atin Pothiraj Elias Stengel-Eskin Jaemin Cho Joey Tianyi Zhou 35 0 0 21 Apr 2025
Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation Yongchao Feng Yajie Liu Shuai Yang Wenrui Cai Jingyang Zhang ... Jiahui Lv Ziqiang Liu Tengyuan Shi Qingjie Liu Yixuan Wang MLLM VLM 63 1 0 13 Apr 2025
Exploring Contextual Attribute Density in Referring Expression Counting Zhicheng Wang Zhiyu Pan Zhan Peng Jian Cheng Liwen Xiao Wei Jiang Zhiguo Cao 42 0 0 16 Mar 2025
Text-guided Zero-Shot Object Localization Jingjing Wang Xinglin Piao Zongzhi Gao Bo Li Yong Zhang Baocai Yin 74 0 0 18 Nov 2024
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision Michael A. Hobley V. Prisacariu 44 36 0 20 May 2022
Few-shot Object Counting with Similarity-Aware Feature Enhancement Zhiyuan You Kai Yang Wenhan Luo X. Lu Lei Cui Xinyi Le 39 67 0 22 Jan 2022