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Found 5 papers, 0 papers with code
Randomize to Generalize: Domain Randomization for Runway FOD Detection
Subsequently, the second stage generates a batch-wise synthesis of artificial images, carefully designed with an array of diverse augmentations.
Controlled Caption Generation for Images Through Adversarial Attacks
In contrast, we propose a GAN-based algorithm for crafting adversarial examples for neural image captioning that mimics the internal representation of the CNN such that the resulting deep features of the input image enable a controlled incorrect caption generation through the recurrent network.
Empirical Autopsy of Deep Video Captioning Frameworks
We perform extensive experiments by varying the constituent components of the video captioning framework, and quantify the performance gains that are possible by mere component selection.
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
The final representation is projected to a compact space and fed to a language model.
Video Description: A Survey of Methods, Datasets and Evaluation Metrics
Video description is the automatic generation of natural language sentences that describe the contents of a given video.
