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ArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc

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arXiv
🗒DAPnet: A double self-attention convolutional network for segmentation of point clouds.
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arXiv
🗒Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton.
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arXiv
🗒Contractible, hyperbolic but non-CAT(0) complexes.
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arXiv
🗒Heritability curves: a local measure of heritability.
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arXiv
🗒BiFNet: Bidirectional Fusion Network for Road Segmentation.
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arXiv
🗒Late time cosmological evolution in DHOST models.
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arXiv
🗒ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs.
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arXiv
🗒Normalizing Flow Regression.
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arXiv
🗒Certifying Joint Adversarial Robustness for Model Ensembles.
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arXiv
🗒On the Synergies between Machine Learning and Stereo: a Survey.
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arXiv
🗒Bayesian Parameter Identification for Jump Markov Linear Systems.
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arXiv
🗒A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems.
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arXiv
🗒Stochastic Epidemic Models inference and diagnosis with Poisson Random Measure Data Augme...
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arXiv
🗒The Imandra Automated Reasoning System (system description).
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arXiv
🗒Structured Mechanical Models for Robot Learning and Control.
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arXiv
🗒Group Activity Detection from Trajectory and Video Data in Soccer.
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arXiv
🗒ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots.
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arXiv
🗒Estimaci\'on del n\'umero de reproducci\'on de la epidemia COVID-19 en Culiac\'an Sinaloa...
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arXiv
🗒M-LVC: Multiple Frames Prediction for Learned Video Compression.
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arXiv
🗒Panoptic-based Image Synthesis.
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arXiv
🗒Learning Multi-Modal Image Registration without Real Data.
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