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Found 6 papers, 2 papers with code
CNN Model & Tuning for Global Road Damage Detection
We briefly describe the tuning strategy for the experiments conducted on two-stage Faster R-CNN with Deep Residual Network (Resnet) and Feature Pyramid Network (FPN) backbone.
Hunting Group Clues with Transformers for Social Group Activity Recognition
Our method is designed in such a way that the attention modules identify and then aggregate features relevant to social group activities, generating an effective feature for each social group.
Ranked #1 on
Group Activity Recognition
on Collective Activity
(using extra training data)
Enterprise Disk Drive Scrubbing Based on Mondrian Conformal Predictors
Additionally, the continuous reading of data from disks when scrubbing can result in wear and tear, especially on larger capacity disks, due to the significant time and energy consumption involved.
IndoorGNN: A Graph Neural Network based approach for Indoor Localization using WiFi RSSI
Commonly used technologies for indoor localization include WiFi, Bluetooth, RFID, and Ultra-wideband.
Enhancing Neural Theorem Proving through Data Augmentation and Dynamic Sampling Method
This gives the model more examples to learn from and helps it to predict the tactics with premises more accurately.
Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning
The risk of hardware Trojans being inserted at various stages of chip production has increased in a zero-trust fabless era.
