Towards Open World Object Detection

3 March 2021

Salman Khan

Papers citing "Towards Open World Object Detection"

26 / 76 papers shown

Title
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation Tao Feng Mang Wang Hangjie Yuan ObjD CLL 23 84 0 05 Apr 2022
Re-examining Distillation For Continual Object Detection Eli Verwimp Kuo Yang Sarah Parisot Hong Lanqing Steven G. McDonagh Eduardo Pérez-Pellitero Matthias De Lange Tinne Tuytelaars VLM 17 6 0 04 Apr 2022
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan F. Khan Rao Muhammad Anwer V. Balasubramanian CLL 33 46 0 28 Mar 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Saeed Mian M. Shah NoLa 30 98 0 28 Mar 2022
GOSS: Towards Generalized Open-set Semantic Segmentation Jie Hong Weihong Li Junlin Han Jiyang Zheng Pengfei Fang Mehrtash Harandi L. Petersson VLM 19 19 0 23 Mar 2022
Incremental Few-Shot Learning via Implanting and Compressing Yiting Li H. Zhu Xijia Feng Zilong Cheng Jun Ma Cheng Xiang P. Vadakkepat T. Lee CLL VLM 19 2 0 19 Mar 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving Kaican Li Kai Chen Haoyu Wang Lanqing Hong Chao Ye ... Chunjing Xu Dit-Yan Yeung Xiaodan Liang Zhenguo Li Hang Xu 26 97 0 15 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 30 26 0 10 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 37 90 0 08 Mar 2022
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction Kareem M. Metwaly Aerin Kim E. Branson V. Monga 43 7 0 07 Mar 2022
Extending One-Stage Detection with Open-World Proposals Sachin Konan Kevin J Liang Li Yin ObjD 24 10 0 07 Jan 2022
Grounded Language-Image Pre-training Liunian Harold Li Pengchuan Zhang Haotian Zhang Jianwei Yang Chunyuan Li ... Lu Yuan Lei Zhang Jenq-Neng Hwang Kai-Wei Chang Jianfeng Gao ObjD VLM 29 1,018 0 07 Dec 2021
Learning to Detect Every Thing in an Open World Kuniaki Saito Ping Hu Trevor Darrell Kate Saenko ObjD VLM 19 45 0 03 Dec 2021
Open-set 3D Object Detection Jun Cen Peng Yun Junhao Cai M. Y. Wang Meilin Liu 3DPC 24 37 0 02 Dec 2021
Uncertainty Aware Proposal Segmentation for Unknown Object Detection Yimeng Li Jana Kosecka UQCV 30 19 0 25 Nov 2021
Class-agnostic Object Detection with Multi-modal Transformer Muhammad Maaz H. Rasheed Salman Khan F. Khan Rao Muhammad Anwer Ming Yang 15 91 0 22 Nov 2021
CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles Kareem M. Metwaly Aerin Kim E. Branson V. Monga 29 4 0 16 Nov 2021
Objects in Semantic Topology Shuo Yang Pei Sun Yi-Xin Jiang Xiaobo Xia Ruiheng Zhang Zehuan Yuan Changhu Wang Ping Luo Min Xu ObjD 89 29 0 06 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Open-World Entity Segmentation Lu Qi Jason Kuen Yi Wang Jiuxiang Gu Hengshuang Zhao Zhe-nan Lin Philip H. S. Torr Jiaya Jia OCL SSeg VLM 37 80 0 29 Jul 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 100 33 0 03 Jun 2021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 225 898 0 28 Apr 2021
Opening up Open-World Tracking Yang Liu Idil Esen Zulfikar Jonathon Luiten Achal Dave Deva Ramanan Bastian Leibe Aljosa Osep Laura Leal-Taixé 25 51 0 22 Apr 2021
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan F. Khan V. Balasubramanian ObjD CLL VLM 177 98 0 17 Mar 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 95 544 0 16 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015