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Found 5 papers, 5 papers with code
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing
We propose in this article to build up a collaboration between a deep neural network and a human in the loop to swiftly obtain accurate segmentation maps of remote sensing images.
OV$^{2}$SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications
Many applications of Visual SLAM, such as augmented reality, virtual reality, robotics or autonomous driving, require versatile, robust and precise solutions, most often with real-time capability.
Interactive Learning for Semantic Segmentation in Earth Observation
Dense pixel-wise classification maps output by deep neural networks are of extreme importance for scene understanding.
STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
We present a new lightweight CNN-based algorithm for multi-frame optical flow estimation.
DISIR: Deep Image Segmentation with Interactive Refinement
Starting from an initial output based on the image only, our network then interactively refines this segmentation map using a concatenation of the image and user annotations.
