FACET: Fairness in Computer Vision Evaluation Benchmark

31 August 2023

Papers citing "FACET: Fairness in Computer Vision Evaluation Benchmark"

7 / 7 papers shown

Title
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression Kuniko Paxton Koorosh Aslansefat Dhavalkumar Thakker Y. Papadopoulos 25 0 0 13 Jun 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 534 2 0 17 Feb 2025
SB-Bench: Stereotype Bias Benchmark for Large Multimodal Models Vishal Narnaware Ashmal Vayani Rohit Gupta Swetha Sirnam Mubarak Shah 204 3 0 12 Feb 2025
Constructing Fair Latent Space for Intersection of Fairness and Explainability Hyungjun Joo Hyeonggeun Han Sehwan Kim Sangwoo Hong Jungwoo Lee 112 0 0 23 Dec 2024
Organizing Unstructured Image Collections using Natural Language Mingxuan Liu Zhun Zhong Jun Li Gianni Franchi Subhankar Roy Elisa Ricci VLM 143 5 0 07 Oct 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu Mehrtash Harandi 105 17 0 11 Jan 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning Jing Wu Munawar Hayat Min Zhou Mehrtash Harandi FedML 56 11 0 13 Sep 2022