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. 2408.01694
  4. Cited By
Bayesian Active Learning for Semantic Segmentation

Bayesian Active Learning for Semantic Segmentation

3 August 2024
Sima Didari
Wenjun Hu
Jae Oh Woo
Heng Hao
Hankyu Moon
Seungjai Min
ArXivPDFHTML

Papers citing "Bayesian Active Learning for Semantic Segmentation"

8 / 8 papers shown
Title
NamedMask: Distilling Segmenters from Complementary Foundation Models
NamedMask: Distilling Segmenters from Complementary Foundation Models
Gyungin Shin
Weidi Xie
Samuel Albanie
ISeg
VLM
63
22
0
22 Sep 2022
Semantic Segmentation with Active Semi-Supervised Learning
Semantic Segmentation with Active Semi-Supervised Learning
Aneesh Rangnekar
Christopher Kanan
Matthew Hoffman
VLM
30
24
0
21 Mar 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low
  Budgets
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen
Avihu Dekel
D. Weinshall
124
116
0
06 Feb 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
Shuai Xie
Zunlei Feng
Ying Chen
Songtao Sun
Chao Ma
Xiuming Zhang
VLM
122
50
0
17 Oct 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
183
21,813
0
09 Dec 2016
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
285
9,138
0
06 Jun 2015
1