Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Google DeepMind Brown University Louis Bรฉthune
Neural Information Processing Systems
Recent studies suggest that deep learning models' inductive bias towards favoring
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A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
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Albeit it is crucial for autonomous driving and night vision, this problem has not been yet focused on as much as other object detection (OD).
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