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Found 5 papers, 3 papers with code
Layered Embeddings for Amodal Instance Segmentation
The proposed method extends upon the representational output of semantic instance segmentation by explicitly including both visible and occluded parts.
Exploiting Invariance in Training Deep Neural Networks
Inspired by two basic mechanisms in animal visual systems, we introduce a feature transform technique that imposes invariance properties in the training of deep neural networks.
E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers
Existing fiducial markers solutions are designed for efficient detection and decoding, however, their ability to stand out in natural environments is difficult to infer from relatively limited analysis.
RSSOD-Bench: A large-scale benchmark dataset for Salient Object Detection in Optical Remote Sensing Imagery
We present the RSSOD-Bench dataset for salient object detection (SOD) in optical remote sensing imagery.
Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences
The NCS optimization problem is to find an NCS that maximizes gene expression.
