Importance of Self-Consistency in Active Learning for Semantic Segmentation

4 August 2020

Papers citing "Importance of Self-Consistency in Active Learning for Semantic Segmentation"

10 / 10 papers shown

Title
Correlation-aware active learning for surgery video segmentation Fei Wu Pablo Márquez-Neila Mingyi Zheng Hedyeh Rafii-Tari Raphael Sznitman 31 3 0 15 Nov 2023
Active Learning for Semantic Segmentation with Multi-class Label Query S. Hwang Sohyun Lee Hoyoung Kim Minhyeon Oh Jungseul Ok Suha Kwak VLM 38 7 0 17 Sep 2023
Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment Amirsaeed Yazdani Xuelu Li V. Monga EDL 41 0 0 28 Aug 2023
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset Ngoc Phuong Anh Duong Alexandre Almin Léo Lemarié B. R. Kiran 27 0 0 21 Feb 2023
Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security Checkpoints Abubakar Siddique Henry Medeiros 32 5 0 31 Dec 2022
LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation Ngoc Phuong Anh Duong Alexandre Almin Léo Lemarié B. R. Kiran 18 3 0 06 Feb 2022
All you need are a few pixels: semantic segmentation with PixelPick Gyungin Shin Weidi Xie Samuel Albanie VLM 24 42 0 13 Apr 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015