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Found 6 papers, 0 papers with code
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning
In this work, we show that Relation Graph augmented Learning (RGL) can improve the performance of few-shot natural language understanding tasks.
Dual-Branch Reconstruction Network for Industrial Anomaly Detection with RGB-D Data
Unsupervised anomaly detection methods are at the forefront of industrial anomaly detection efforts and have made notable progress.
CL-Flow:Strengthening the Normalizing Flows by Contrastive Learning for Better Anomaly Detection
While these unsupervised anomaly detection methods offer convenience, they also overlook the crucial prior information embedded within anomalous samples.
Sub-action Prototype Learning for Point-level Weakly-supervised Temporal Action Localization
Point-level weakly-supervised temporal action localization (PWTAL) aims to localize actions with only a single timestamp annotation for each action instance.
Pseudo Label
Weakly-supervised Temporal Action Localization
+1
Replay Attack Detection Based on Parity Space Method for Cyber-Physical Systems
The replay attack detection problem is studied from a new perspective based on parity space method in this paper.
Semantic Feature Integration network for Fine-grained Visual Classification
By eliminating unnecessary features and reconstructing the semantic relations among discriminative features, our SFI-Net has achieved satisfying performance.
