CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue

CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue

13 August 2021

Wenping Wang

Papers citing "CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue"

14 / 14 papers shown

Title
EOOD: Entropy-based Out-of-distribution Detection Guide Yang Chao Hou Weilong Peng Xiang Fang Yongwei Nie Peican Zhu Keke Tang OODD 44 0 0 04 Apr 2025
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow Jiaqi Bai Hongcheng Guo Zhongyuan Peng Jian Yang Z. Li M. Li Zhihong Tian VLM 52 0 0 28 Feb 2025
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 37 2 0 18 Sep 2024
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning Min-Yeong Park Jae-Ho Lee Gyeong-Moon Park CLL 16 1 0 17 Sep 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection Hao Sun Rundong He Zhongyi Han Zhicong Lin Yongshun Gong Yilong Yin OODD 25 5 0 30 Mar 2024
EAT: Towards Long-Tailed Out-of-Distribution Detection Tong Wei Bo-Lin Wang Min-Ling Zhang OODD 11 13 0 14 Dec 2023
Image Background Serves as Good Proxy for Out-of-distribution Data Sen Pei 22 1 0 02 Jul 2023
Free Lunch for Generating Effective Outlier Supervision Sen Pei Jiaxi Sun R. Xu Bin Fan Shiming Xiang Gaofeng Meng OODD 17 0 0 17 Jan 2023
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference Yabin Wang Zhiheng Ma Zhiwu Huang Yaowei Wang Zhou Su Xiaopeng Hong 13 39 0 29 Nov 2022
Novel Class Discovery without Forgetting K. J. Joseph S. Paul Gaurav Aggarwal Soma Biswas Piyush Rai Kai Han V. Balasubramanian CLL 13 43 0 21 Jul 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang Aston Zhang Yi Zhu Shuai Zheng Mu Li Alexander J. Smola Zhangyang Wang OODD 122 48 0 04 Jul 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 245 9,042 0 06 Jun 2015