Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection

28 April 2022

Papers citing "Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection"

8 / 8 papers shown

Title
LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection Zhengyi Liu Longzhen Wang Xianyong Fang Zhengzheng Tu Linbo Wang Mamba 43 1 0 11 Nov 2024
Practical Edge Detection via Robust Collaborative Learning Yuanbin Fu Xiaojie Guo 30 9 0 27 Aug 2023
OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation Fei Teng Jiaming Zhang Kunyu Peng Yaonan Wang Rainer Stiefelhagen Kailun Yang 30 4 0 28 Jul 2023
Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection Aixuan Li Yuxin Mao Jing Zhang Yuchao Dai 26 25 0 06 Jun 2023
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels Runmin Cong Qi Qin Chen Zhang Qiuping Jiang Shi Wang Yao-Min Zhao Sam Kwong 54 52 0 07 Sep 2022
RGB-D Saliency Detection via Cascaded Mutual Information Minimization Jing Zhang Deng-Ping Fan Yuchao Dai Xin Yu Yiran Zhong Nick Barnes Ling Shao 49 95 0 15 Sep 2021
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection Jing Zhang Jianwen Xie Nick Barnes NoLa 50 57 0 23 Jul 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015