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Found 6 papers, 0 papers with code
Understanding Contrastive Learning Through the Lens of Margins
In this work, we propose a new perspective to understand the role of margins based on gradient analysis.
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer
In the pursuit of artificial general intelligence (AGI), we tackle Abstraction and Reasoning Corpus (ARC) tasks using a novel two-pronged approach.
Analysis of UAV Radar and Communication Network Coexistence with Different Multiple Access Protocols
Unmanned aerial vehicles (UAVs) are expected to be used extensively in the future for various applications, either as user equipment (UEs) connected to a cellular wireless network, or as an infrastructure extension of an existing wireless network to serve other UEs.
ASAP: Accurate semantic segmentation for real time performance
Feature fusion modules from encoder and self-attention module have been adopted in semantic segmentation.
PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network
As the Light Detection And Range (LiDAR) sensor is widely used in the autonomous car, fast semantic segmentation of LiDAR point cloud, which is the point-wise classification of the point cloud within the sensor framerate, has attracted attention in recognition of the driving environment.
ECO: Enabling Energy-Neutral IoT Devices through Runtime Allocation of Harvested Energy
The proposed framework uses an efficient iterative algorithm to compute initial energy allocations at the beginning of a day.
