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Found 4 papers, 1 papers with code
Vision-Language Modeling with Regularized Spatial Transformer Networks for All Weather Crosswind Landing of Aircraft
The intrinsic capability to perceive depth of field and extract salient information by the Human Vision System (HVS) stimulates a pilot to perform manual landing over an autoland approach.
HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues
Even though joint training of audio-visual modalities improves classification performance in a low-data regime, it has yet to be thoroughly investigated in the RS domain.
Domain Adaptive Few-Shot Open-Set Learning
Few-shot learning has made impressive strides in addressing the crucial challenges of recognizing unknown samples from novel classes in target query sets and managing visual shifts between domains.
Ranked #1 on
cross-domain few-shot learning
on Office-Home
MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation
Efficient road and building footprint extraction from satellite images are predominant in many remote sensing applications.
