Railway Track Image Classification
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Benchmarks
Papers
0/1 Deep Neural Networks via Block Coordinate Descent
2022-06-19
· HUI ZHANG, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu
The step function is one of the simplest and most natural activation functions for deep neural networks (DNNs). As it counts 1 for positive variables and 0 for others, its intrinsic characteristics (e.g., discontinuity a…
10-shot image generation16k2D Object Detection+92A Vision-based Solution for Track Misalignment Detection
2021-12-20 · Conference on Graphics, Patterns and Images (SIBGRAPI) 2021 12
· Koteswar Rao Jerripothula, Sharik Ali Ansari, Rahul Nijhawan
Derailment is one of the most frequent ways railway accidents happen. Track defects such as buckling and hogging that cause misalignment of tracks can easily lead to derailments. While railway tracks get laterally misali…
image-classificationImage ClassificationRailway Track Image ClassificationTransfer Learning