Learning Debiased and Disentangled Representations for Semantic Segmentation

31 October 2021

Papers citing "Learning Debiased and Disentangled Representations for Semantic Segmentation"

10 / 10 papers shown

Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 36 0 0 11 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 70 1 0 24 Apr 2025
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding Thanh-Dat Truong Utsav Prabhu Bhiksha Raj Jackson Cothren Khoa Luu CLL 51 3 0 27 Nov 2023
Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising Haodong Pan Feng Gao Junyu Dong Q. Du 36 12 0 19 Apr 2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding Thanh-Dat Truong Ngan Le Bhiksha Raj J. Cothren Khoa Luu 52 25 0 04 Apr 2023
Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification Minjung Kim Myeongah Cho Sangyoun Lee 29 14 0 16 Dec 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems Zihan Wang Na Huang Fei Sun Pengjie Ren Zhumin Chen Hengliang Luo Maarten de Rijke Zhaochun Ren AAML 41 14 0 24 Jun 2022
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 76 48 0 06 Aug 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 155 372 0 09 May 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 463 15,657 0 02 Nov 2015