Expanding Low-Density Latent Regions for Open-Set Object Detection

Expanding Low-Density Latent Regions for Open-Set Object Detection

28 March 2022

Papers citing "Expanding Low-Density Latent Regions for Open-Set Object Detection"

15 / 15 papers shown

Title
Open-Set Object Detection By Aligning Known Class Representations Hiran Sarkar Vishal M. Chudasama N. Onoe Pankaj Wasnik Vineeth N. Balasubramanian ObjD 44 5 0 31 Dec 2024
YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discovery Qian Wan Xiang Xiang Qinhao Zhou ObjD 33 0 0 30 Mar 2024
UFO: Unidentified Foreground Object Detection in 3D Point Cloud Hyunjun Choi Hawook Jeong Jin Young Choi 3DPC 16 1 0 08 Jan 2024
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery Sarah Rastegar Hazel Doughty Cees G. M. Snoek 30 15 0 30 Oct 2023
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation Yuxin Mao Jing Zhang Mochu Xiang Yun-Qiu Lv Yiran Zhong Yuchao Dai DiffM 43 28 0 31 Jul 2023
Towards Generalized Few-Shot Open-Set Object Detection Binyi Su Hua Zhang Jingzhi Li Zhongjun Zhou 45 9 0 28 Oct 2022
Tunable Hybrid Proposal Networks for the Open World Matthew J. Inkawhich Nathan Inkawhich H. Li Yiran Chen 19 2 0 23 Aug 2022
Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation Yusuke Hosoya Masanori Suganuma Takayuki Okatani ObjD 24 2 0 20 Jul 2022
Dual Decision Improves Open-Set Panoptic Segmentation Hainan Xu Hao Chen Lingqiao Liu Yufei Yin VLM 21 6 0 06 Jul 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 404 0 12 Oct 2021
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 188 250 0 11 Feb 2021
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 155 216 0 19 Mar 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 92 544 0 16 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015