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Found 4 papers, 2 papers with code
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
YOWO is a single-stage architecture with two branches to extract temporal and spatial information concurrently and predict bounding boxes and action probabilities directly from video clips in one evaluation.
Ranked #1 on
Action Recognition In Videos
on AVA v2.2
Multi-Facet Recommender Networks with Spherical Optimization
Metric learning has been proposed to capture user-item interactions from implicit feedback, but existing methods only represent users and items in a single metric space, ignoring the fact that users can have multiple preferences and items can have multiple properties, which leads to potential conflicts limiting their performance in recommendation.
Partial Relaxed Optimal Transport for Denoised Recommendation
The interaction data used by recommender systems (RSs) inevitably include noises resulting from mistaken or exploratory clicks, especially under implicit feedbacks.
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection
In this work, we propose a novel feature fusion strategy, DynStaF (Dynamic-Static Fusion), which enhances the rich semantic information provided by the multi-frame (dynamic branch) with the accurate location information from the current single-frame (static branch).
