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Found 5 papers, 2 papers with code
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
Recent methods utilize graph contrastive Learning within graph-structured user-item interaction data for collaborative filtering and have demonstrated their efficacy in recommendation tasks.
YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception
Over the last decade, multi-tasking learning approaches have achieved promising results in solving panoptic driving perception problems, providing both high-precision and high-efficiency performance.
Ranked #1 on
Lane Detection
on BDD100K val
Snow Mask Guided Adaptive Residual Network for Image Snow Removal
Recently, some methods have been proposed for snow removing, and most methods deal with snow images directly as the optimization object.
Class-Aware Contrastive Semi-Supervised Learning
Pseudo-label-based semi-supervised learning (SSL) has achieved great success on raw data utilization.
Cautionary Tales on Air-Quality Improvement in Beijing
While this statistic offered some relief for the inhabitants of the capital, we present several analyses based on Beijing's PM2. 5 data of the past 4 years at 36 monitoring sites along with meteorological data of the past 7 years.
