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Found 5 papers, 1 papers with code
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
Deep neural network (DNN) video analytics is crucial for autonomous systems such as self-driving vehicles, unmanned aerial vehicles (UAVs), and security robots.
Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training
Learned indexes use machine learning models to learn the mappings between keys and their corresponding positions in key-value indexes.
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention
Improving multi-view aggregation is integral for multi-view pedestrian detection, which aims to obtain a bird's-eye-view pedestrian occupancy map from images captured through a set of calibrated cameras.
Privacy Safe Representation Learning via Frequency Filtering Encoder
We further conduct a user study to qualitatively assess our defense of the reconstruction attack.
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics
This paper presents CoVA, a novel cascade architecture that splits the cascade computation between compressed domain and pixel domain to address the decoding bottleneck, supporting both temporal and spatial queries.
