Reduction of Class Activation Uncertainty with Background Information

5 May 2023

Papers citing "Reduction of Class Activation Uncertainty with Background Information"

6 / 6 papers shown

Title
Enhancing Small Object Encoding in Deep Neural Networks: Introducing Fast&Focused-Net with Volume-wise Dot Product Layer Tofik Ali Partha Pratim Roy ObjD 24 2 0 18 Jan 2024
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models Peng-Tao Xu Wenqi Shao Kaipeng Zhang Peng Gao Shuo Liu Meng Lei Fanqing Meng Siyuan Huang Yu Qiao Ping Luo ELM MLLM 28 159 0 15 Jun 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 24 4 0 08 Mar 2023
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems Andrea Gesmundo J. Dean 31 23 0 25 May 2022
Revisiting the Importance of Individual Units in CNNs via Ablation Bolei Zhou Yiyou Sun David Bau Antonio Torralba FAtt 52 116 0 07 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,136 0 06 Jun 2015