ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.17797
  4. Cited By
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for
  OOD Detection

T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection

28 May 2023
Sudarshan Regmi
Bibek Panthi
S. Dotel
P. Gyawali
Danail Stoynov
Binod Bhattarai
    OODD
ArXivPDFHTML

Papers citing "T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection"

3 / 3 papers shown
Title
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
158
148
0
20 Sep 2022
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
163
266
0
19 May 2022
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
175
328
0
01 Oct 2021
1