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Found 5 papers, 3 papers with code
Improving Skeleton-based Action Recognition with Interactive Object Information
We propose a new action recognition framework introducing object nodes to supplement absent interactive object information.
Prompt-based test-time real image dehazing: a novel pipeline
Accordingly, we first apply a prompt generation module (PGM) to generate a visual prompt, which is the reference of appropriate statistical perturbations for mean and standard deviation.
Accurate and lightweight dehazing via multi-receptive-field non-local network and novel contrastive regularization
Thus, a multi-receptive-field non-local network (MRFNLN) consisting of the multi-stream feature attention block (MSFAB) and cross non-local block (CNLB) is presented in this paper.
A Monkey Swing Counting Algorithm Based on Object Detection
This paper focuses on proposing a deep learning-based monkey swing counting algorithm.
DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
In this paper, a detail-enhanced attention block (DEAB) consisting of the detail-enhanced convolution (DEConv) and the content-guided attention (CGA) is proposed to boost the feature learning for improving the dehazing performance.
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Image Dehazing
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