Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning
for Salient Object Detection

Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection

13 December 2022

Chenglizhao Chen

Papers citing "Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection"

7 / 7 papers shown

Title
Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection Yi Liu Chengxin Li Xiaohui Dong Lei Li Dingwen Zhang Shoukun Xu J. Han 63 0 0 22 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 68 1 0 25 Nov 2024
Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence Siyue Yu Bingfeng Zhang Jimin Xiao Eng Gee Lim 68 124 0 08 Dec 2020
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection Jing Zhang Jianwen Xie Nick Barnes NoLa 46 57 0 23 Jul 2020
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 149 194 0 16 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 253 3,102 0 04 Nov 2016