Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Tensorflow implementation of YOLO, including training and test phase.
Implementation of Pyramid Attention Networks for Semantic Segmentation.
This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).
DeepLab v3+ model in PyTorch. Support different backbones.
Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"
deep learning for image processing including classification and object-detection etc.
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
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Tackling the kaggle problem of Facial Expression Recognition Challenge
