A Simple-but-effective Baseline for Training-free Class-Agnostic Counting

A Simple-but-effective Baseline for Training-free Class-Agnostic Counting

3 March 2024

Lingqiao Liu

Javen Qinfeng Shi

Papers citing "A Simple-but-effective Baseline for Training-free Class-Agnostic Counting"

19 / 19 papers shown

Title
Point, Segment and Count: A Generalized Framework for Object Counting Zhizhong Huang Mingliang Dai Yi Zhang Junping Zhang Hongming Shan 51 19 0 21 Nov 2023
AnyDoor: Zero-shot Object-level Image Customization Xi Chen Lianghua Huang Yu Liu Yujun Shen Deli Zhao Hengshuang Zhao DiffM 96 267 0 18 Jul 2023
Semantic-SAM: Segment and Recognize Anything at Any Granularity Feng Li Hao Zhang Pei Sun Xueyan Zou Siyi Liu Jianwei Yang Chun-yue Li Lei Zhang Jianfeng Gao VLM 71 173 0 10 Jul 2023
Training-free Object Counting with Prompts Zenglin Shi Ying Sun Mengmi Zhang VLM 34 22 0 30 Jun 2023
Caption Anything: Interactive Image Description with Diverse Multimodal Controls Teng Wang Jinrui Zhang Junjie Fei Hao Zheng Yunlong Tang Zhe Li Mingqi Gao Shanshan Zhao MLLM 127 87 0 04 May 2023
Track Anything: Segment Anything Meets Videos Jinyu Yang Mingqi Gao Zhe Li Shanghua Gao Fang Wang Fengcai Zheng VOS 49 223 0 24 Apr 2023
Can SAM Count Anything? An Empirical Study on SAM Counting Zhiheng Ma Xiaopeng Hong Qinnan Shangguan VLM 95 18 0 21 Apr 2023
Anything-3D: Towards Single-view Anything Reconstruction in the Wild Qiuhong Shen Xingyi Yang Xinchao Wang DiffM 32 88 0 19 Apr 2023
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Hervé Jégou Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 254 3,205 0 14 Apr 2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging Ruining Deng C. Cui Quan Liu Tianyuan Yao Lucas W. Remedios ... Shilin Zhao Agnes B. Fogo Haichun Yang Yucheng Tang Yuankai Huo VLM MedIm 38 205 0 09 Apr 2023
Segment Anything A. Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Chloe Rolland ... Spencer Whitehead Alexander C. Berg Wan-Yen Lo Piotr Dollár Ross B. Girshick MLLM VLM 266 7,047 0 05 Apr 2023
A Low-Shot Object Counting Network With Iterative Prototype Adaptation Nikola Djukic A. Lukežič Vitjan Zavrtanik Matej Kristan 68 47 0 15 Nov 2022
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting Min Shi Hao Lu Chen Feng Chengxin Liu Zhiguo Cao 43 87 0 16 Mar 2022
Few-shot Object Counting with Similarity-Aware Feature Enhancement Zhiyuan You Kai Yang Wenhan Luo X. Lu Lei Cui Xinyi Le 58 68 0 22 Jan 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 587 5,920 0 29 Apr 2021
Learning To Count Everything Viresh Ranjan U. Sharma Thua Nguyen Minh Hoai 53 144 0 16 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 689 28,659 0 26 Feb 2021
Class-Agnostic Counting Erika Lu Weidi Xie Andrew Zisserman 39 143 0 01 Nov 2018
Drone-based Object Counting by Spatially Regularized Regional Proposal Network Meng-Ru Hsieh Yen-Liang Lin Winston H. Hsu 45 414 0 19 Jul 2017