Tunable Hybrid Proposal Networks for the Open World

Tunable Hybrid Proposal Networks for the Open World

23 August 2022

Matthew J. Inkawhich

Nathan Inkawhich

Yiran Chen

Papers citing "Tunable Hybrid Proposal Networks for the Open World"

4 / 4 papers shown

Title
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery Matthew J. Inkawhich Nathan Inkawhich Hao Yang Jingyang Zhang Randolph Linderman Yiran Chen ObjD 45 0 0 16 Apr 2024
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment Lewei Yao Jianhua Han Xiaodan Liang Danqian Xu Wei Zhang Zhenguo Li Hang Xu VLM ObjD CLIP 47 74 0 10 Apr 2023
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 178 220 0 02 Feb 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015