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
56
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
25
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
119
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
292
5,761
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
Mingli Song
VLM
107
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
238
3,359
0
09 Mar 2020
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
166
21,643
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
247
9,109
0
06 Jun 2015
1