ZhengPeng7/visibility_detection_in_foggy_scenes

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Created over 5 years ago
Updated over 5 years ago

ZhengPeng7/visibility_detection_in_foggy_scenes

ZhengPeng7

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Deep-learning methods in detecting the visibility of rail ways in foggy scenes.

BiRefNet

[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

motion_magnification_learning-based

An unofficial implementation of "Learning-based Video Motion Magnification" in Pytorch.

SANet-Keras

Implement SANet for crowd counting in Keras.

Jupyter Notebook

GCoNet_plus

[TPAMI'23] GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector.

Jupyter Notebook

W-Net-Keras

An unofficial implementation of W-Net for crowd counting.

Jupyter Notebook

CSRNet-Keras

An unofficial implementation of CSRNet for crowd counting.

Jupyter Notebook

GLCNet

Official implementation of "Global-Local Context Network for Person Search" in PyTorch.

LeafVeinExtraction

To extract leaf veins from scanned leaf groups.

MCCL

Memory-aided Contrastive Consensus Learning for Co-salient Object Detection in AAAI2023.

Predict_Trafficflow_by_LSTM_in_Keras

Predict traffic flow data by lstm in Keras

Vehicle_License_Plate_Recognition

Image processing and characters recognition

CoRRN-Pytorch

An unofficial implementation of the Cooperative Reflection Removal Network(CoRRN) in Pytorch.

Multi_column_CNN_in_Keras

Keras version implementation of Multi-column CNN for crowd counting.

Jupyter Notebook

text_detection_by_CTPN_tianchi_ICPR

The Alibaba TIANCHI OCR competition

Jupyter Notebook

CoSOD_fps_collection

Inference FPS of existing CoSOD models.

CoSOD_bsl

faster training & inference

detect_visual_limits

detect the visual limits on the traffic roads

pm25

[TBV, image, entropy] -> PM2.5

Jupyter Notebook