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Reduction of Class Activation Uncertainty with Background Information

Reduction of Class Activation Uncertainty with Background Information

5 May 2023
H. M. D. Kabir
ArXivPDFHTML

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
Enhancing Small Object Encoding in Deep Neural Networks: Introducing Fast&Focused-Net with Volume-wise Dot Product Layer
Tofik Ali
Partha Pratim Roy
ObjD
28
2
0
18 Jan 2024
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large
  Vision-Language Models
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
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
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
Revisiting the Importance of Individual Units in CNNs via Ablation
Bolei Zhou
Yiyou Sun
David Bau
Antonio Torralba
FAtt
54
116
0
07 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
282
9,136
0
06 Jun 2015
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