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Found 4 papers, 3 papers with code
Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion Model
In the few-shot segmentation task, models are typically trained on base classes with abundant annotations and later adapted to novel classes with limited examples.
Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community Challenge
In this work, we present the community-based data challenge we organized based on MyCD.
Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain
Few-shot segmentation is a task to segment objects or regions of novel classes within an image given only a few annotated examples.
Lightweight Recurrent Cross-modal Encoder for Video Question Answering
Due to the high computational cost of the self-attention and the high dimensional data of video, they either have to settle for: 1) only training the cross-modal encoder on offline-extracted video and text features or 2) training the cross-modal encoder with the video and text feature extractor, but only using sparsely-sampled video frames.
Ranked #7 on
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