Object Recognition with and without Objects

Object Recognition with and without Objects

20 November 2016

Papers citing "Object Recognition with and without Objects"

15 / 15 papers shown

Title
Quantifying Context Bias in Domain Adaptation for Object Detection Hojun Son Asma Almutairi Arpan Kusari AI4CE 29 0 0 23 Sep 2024
Leveraging Habitat Information for Fine-grained Bird Identification Tin Nguyen Anh Nguyen Anh Nguyen VLM 44 0 0 22 Dec 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 30 12 0 13 Mar 2023
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 66 159 0 24 Nov 2022
Developing a Series of AI Challenges for the United States Department of the Air Force V. Gadepally Greg Angelides Andrei Barbu Andrew Bowne L. Brattain ... Mark S. Veillette Matthew L. Weiss Allan B. Wollaber S. Yuditskaya J. Kepner AI4CE 23 5 0 14 Jul 2022
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks Jaehui Hwang Huan Zhang Jun-Ho Choi Cho-Jui Hsieh Jong-Seok Lee AAML 19 5 0 15 Dec 2021
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation Yeonsung Jung Hajin Shim J. Yang Eunho Yang 25 8 0 02 Dec 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 156 74 0 12 Sep 2021
Ultra-high Resolution Image Segmentation via Locality-aware Context Fusion and Alternating Local Enhancement Wenxi Liu Qi Li Xin Lin Weixiang Yang Shengfeng He Yuanlong Yu 29 7 0 06 Sep 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor A. Madry 40 40 0 07 Jun 2021
Distilling Object Detectors via Decoupled Features Jianyuan Guo Kai Han Yunhe Wang Han Wu Xinghao Chen Chunjing Xu Chang Xu 43 199 0 26 Mar 2021
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 47 299 0 28 Nov 2018
Human peripheral blur is optimal for object recognition R. T. Pramod Harish Katti S. Arun 26 19 0 23 Jul 2018
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012