w64228013's repositories
AnomalyHop
Code for AnomalyHop
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
ccf-deadlines
⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~
DarkLabel
Video/Image Labeling and Annotation Tool
DenseUNet-pytorch
A Pytorch implementation of U-Net using a DenseNet-121 backbone
DFCAN-pytorch
Code is basically a pytorch implementation of DFCAN/DFGAN. All credit goes to the authors of DFCAN/DFGAN, listed in the paper“Evaluation and development of deep neural networks for image super-resolution in optical microscopy”.
DFMGAN
[AAAI 2023] Official implementation of "Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation".
DL-SR
Tensorflow/keras implementation for image transformation from low-resolution (LR) image to super-resolved one, including single wide-field (WF) image super-resolution prediction and SIM reconstruction.
face_recognition
The world's simplest facial recognition api for Python and the command line
LabelTrack
LabelTrack是一个针对于多目标跟踪的图形化自动标注平台
MAML
[MICCAI 2021] The official code for "Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation"
MER2023-Baseline
Baseline code for MER 2023 http://merchallenge.cn/mer2023
mmdetection
OpenMMLab Detection Toolbox and Benchmark
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
RobustVideoMatting
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
TBraTS
【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"
transfuser
[CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
UMIS
EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap
Visualizer
helper tools for attention visualization in deep learning
Zero-Shot-Emotion-Recognition-with-AAE
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders