CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation

11 December 2021

Yu Qiao

Chengjiang Long

Xin Yang

Papers citing "CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation"

9 / 9 papers shown

Title
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Renhe Jiang Weiping Ding Manabu Okumura 41 20 0 01 May 2024
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning Risa Shinoda Ryo Hayamizu Kodai Nakashima Nakamasa Inoue Rio Yokota Hirokatsu Kataoka VLM 13 8 0 29 Sep 2023
Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment Amirsaeed Yazdani Xuelu Li V. Monga EDL 25 0 0 28 Aug 2023
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking Jiqing Zhang Yuanchen Wang Wenxi Liu Meng Li Jinpeng Bai Baocai Yin Xin Yang 35 33 0 25 May 2023
Adaptive Superpixel for Active Learning in Semantic Segmentation Ho-Joong Kim Minhyeon Oh S. Hwang Suha Kwak Jungseul Ok 21 12 0 29 Mar 2023
Large-Field Contextual Feature Learning for Glass Detection Haiyang Mei Xin Yang Letian Yu Qiang Zhang Xiaopeng Wei Rynson W. H. Lau 29 17 0 10 Sep 2022
Active Learning for Graph Neural Networks via Node Feature Propagation Yuexin Wu Yichong Xu Aarti Singh Yiming Yang A. Dubrawski GNN AI4CE 46 63 0 16 Oct 2019
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 213 740 0 28 Mar 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015