Learning Debiased and Disentangled Representations for Semantic Segmentation

31 October 2021

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

9 / 9 papers shown

Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 31 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 37 3 0 27 Nov 2023
Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising Haodong Pan Feng Gao Junyu Dong Q. Du 33 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 44 25 0 04 Apr 2023
Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification Minjung Kim Myeongah Cho Sangyoun Lee 24 14 0 16 Dec 2022
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 68 48 0 06 Aug 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 371 0 09 May 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015