Pytorch codes for "Learning Spatial Attention for Face Super-Resolution", TIP 2021.
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spatial-attention
Here are 18 public repositories matching this topic...
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
computer-vision deep-learning tensorflow convolutional-neural-networks encoder-decoder paper-implementations spatial-attention saliency-prediction human-fixations saliency-maps
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SaGAN PyTorch "Generative Adversarial Network with Spatial Attention for Face Attribute Editing"
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This repo contains the 3D implementation of the commonly used attention mechanism for imaging.
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Code for Learning to Zoom and Unzoom (CVPR 2023)
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Pixel Attentional Gating for Parsimonious Per-Pixel Labeling
semantic-segmentation surface-normals boundary-detection dynamic-computation-graphs pixel-labeling monocular-depth parsimonious-inference spatial-attention
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- MATLAB
This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
deep-learning tensorflow physical-modeling multi-task-learning baselines traffic-flow-prediction spatial-attention graph-neural-networks temporal-attention spatio-temporal-attention generative-inference
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- Python
资源受限环境下、大规模肺炎早筛方法。采用DSHNet生成少类样本数据，解决数据不平衡的问题，然后利用RSFNet进行分类，最后结合剪枝策略实现轻量化！MedGAN-ResLite-V2 is released! ❤
machine-learning generator deep-learning cnn pytorch gan dcgan classification resnet chest-xray-images augmentation medical-image-processing pneumonia spatial-attention lightweight-neural-network medmnist
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DSANet: Dilated Spatial Attention for Real-time Semantic Segmentation in Urban Street Scenes
python deep-learning pytorch cityscapes spatial-attention camvid real-time-semantic-segmentation cityscapes-dataset street-scene-understanding channel-wise-attention dsanet segmentation-accuracy
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Akshay Rangesh and Mohan Trivedi, "Forced Spatial Attention for Driver Foot Activity Classification," ICCV Workshop on Assistive Computer Vision and Robotics, 2019.
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The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"
deep-neural-networks medical-imaging batch-normalization supervised-learning segmentation normalization layer-normalization u-net instance-normalization medical-image-segmentation computer-aided-diagnosis spatial-attention channel-attention retinal-vessel-segmentation regularization-to-avoid-overfitting bfmd-sn-u-net gci-cbam
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Efficient Visual Tracking with Stacked Channel-Spatial Attention Learning
visual-tracking attention-mechanism object-tracking vot object-tracker siamese-network siamese-neural-network visual-object-tracking spatial-attention channel-attention attention-network siamese-tracker
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A bifurcated auto-encoder based on channel-wise and spatial-wise attention mechanism with synthetically generated data for segmentation of covid-19 infected regions in CT images
deep-neural-networks autoencoder convolutional-neural-networks image-segmentation attention-mechanism conditional-gan spatial-attention channel-attention ctimage covid-19
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- Jupyter Notebook
Modular PyTorch implementations of popular attention mechanisms (SE, CBAM, ECA, CA, BAM, SimAM, and more) designed for easy integration into any CNN or Transformer model.
python computer-vision deep-learning pytorch transformer convolutional-neural-networks attention-mechanism plug-and-play self-attention spatial-attention squeeze-and-excitation cbam channel-attention
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Hint based Image Colorization ConvNet Challenge 2022 in Computer Vision from Prof. YJ Jung in Gachon Univ
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Patch-level predictive surprise from video foundation model embeddings. The embedding delta is the attention signal.
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A Spatial Attention Mechanism for Motion Prediction in Autonomous Driving
autonomous-driving trajectory-prediction spatial-attention motion-prediction spatial-density-transformer
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- Python
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