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Found 6 papers, 3 papers with code
Learning Segmentation Masks with the Independence Prior
We get appealing results in both tasks, which shows the independence prior is useful for instance segmentation and it is possible to unsupervisedly learn instance masks with only one image.
Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks
We argue that exploring the weaknesses of the detector so as to remedy them is a promising method of robust facial landmark detection.
Ranked #5 on
Face Alignment
on COFW-68
Unsupervised Learning of Multi-level Structures for Anomaly Detection
This paper first introduces a novel method to generate anomalous data by breaking up global structures while preserving local structures of normal data at multiple levels.
Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization
Moreover, the SRN augments the training data by synthesizing occluded faces.
Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation (WSSS) with image-level annotations has achieved great processes through class activation map (CAM).
Weakly supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection
Recent unsupervised anomaly detection methods often rely on feature extractors pretrained with auxiliary datasets or on well-crafted anomaly-simulated samples.
