Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark

6 May 2021

Papers citing "Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark"

7 / 7 papers shown

Title
RingMo-Aerial: An Aerial Remote Sensing Foundation Model With A Affine Transformation Contrastive Learning Wenhui Diao Haichen Yu Kaiyue Kang Tong Ling Di Liu ... Hanbo Bi Libo Ren Xuexue Li Yongqiang Mao Xian Sun 29 1 0 20 Sep 2024
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model Dingkang Liang Jiahao Xie Zhikang Zou Xiaoqing Ye Wei Xu Xiang Bai SSL CLIP VLM 24 52 0 09 Apr 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey Kunlin Wang Zi Wang Zhang Li Ang Su Xichao Teng Minhao Liu Qifeng Yu Qifeng Yu ObjD 83 8 0 21 Feb 2023
Self-Aligning Depth-regularized Radiance Fields for Asynchronous RGB-D Sequences Yuxin Huang Yongliang Shi Zirui Wu Yuantao Chen Runyi Yang Z. Zhu Chao Hou Hao Zhao Guyue Zhou 3DH 28 0 0 14 Nov 2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting Justin Kay Peter Kulits Suzanne Stathatos Siqi Deng Erik Young Sara Beery Grant Van Horn Pietro Perona 19 26 0 19 Jul 2022
RefCrowd: Grounding the Target in Crowd with Referring Expressions Heqian Qiu Hongliang Li Taijin Zhao Lanxiao Wang Qingbo Wu Fanman Meng ObjD 19 6 0 16 Jun 2022
The State of Aerial Surveillance: A Survey Kien Nguyen Thanh Clinton Fookes S. Sridharan Yingli Tian Feng Liu Xiaoming Liu Arun Ross 25 23 0 09 Jan 2022