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Found 4 papers, 2 papers with code
Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection
We present a novel approach that effectively identifies unknown objects by distinguishing between high and low-density regions in latent space.
Program Generation from Diverse Video Demonstrations
The ability to use inductive reasoning to extract general rules from multiple observations is a vital indicator of intelligence.
GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation
Despite Neural Radiance Fields (NeRF) showing compelling results in photorealistic novel views synthesis of real-world scenes, most existing approaches require accurate prior camera poses.
Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery
To make better use of image features, a pre-trained CNN is fine-tuned on remote sensing data in a hybrid network context, resulting in superior results compared to a network trained from scratch.
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