Three papers accepted to ECCV 2020Three papers on different topics were accepted to ECCV 2020
Three papers on different topics were accepted to ECCV 2020
The paper titled "Domain Adaptive Semantic Segmentation Using Weak Labels" proposes a unified framework for both unsupervised domain adaptation when using the estimated pseudo-weak labels and the novel scenario of weakly-supervised adaptation when using weak labels acquired from human annotators. This work bridges the gap between unsupervised and full-supervision for semantic segmentation, with none to very little annotation cost.
Title: Domain Adaptive Semantic Segmentation Using Weak Labels
S. Paul, Y. Tsai, S. Schulter, A. Roy-Chowdhury, M. Chandraker, European Conference on Computer Vision (ECCV), 2020.
Title: Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
D. Raychaudhuri, A. Roy-Chowdhury, European Conference on Computer Vision (ECCV), 2020.
Title: Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency
S. Li, S. Zhu, S. Paul, A. Roy-Chowdhury, C. Song, S. Krishnamurthy, A. Swami, K. S Chan, European Conference on Computer Vision (ECCV), 2020.