Doloresofajj
College of Computer Science and Software Engineering, SZU
Shenzhen UniversityNanshan District, Shenzhen, Guangdong, China
Pinned Repositories
AccMPEG
anjiajia
CCAM
C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)
CLIMS
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation (CVPR 2022)
Deformable-CNN-for-MixedWM38-pytorch
Thesis
happywhale-whale-dolphin-identify
Happywhale - Whale and Dolphin Identification || Identify whales and dolphins by unique characteristics
Imbalanced-Learning
Imbalanced learning tool for imbalanced recognition and segmentation
PyTorchVideoCompression
PyTorch implementation and benchmark of Video Compression
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TorchCAM
CAM', 'ScoreCAM', 'SSCAM', 'ISCAM' 'GradCAM', 'GradCAMpp', 'SmoothGradCAMpp', 'XGradCAM', 'LayerCAM' using by PyTorch.
Doloresofajj's Repositories
Doloresofajj/TorchCAM
CAM', 'ScoreCAM', 'SSCAM', 'ISCAM' 'GradCAM', 'GradCAMpp', 'SmoothGradCAMpp', 'XGradCAM', 'LayerCAM' using by PyTorch.
Doloresofajj/AccMPEG
Doloresofajj/anjiajia
Doloresofajj/CCAM
C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)
Doloresofajj/CLIMS
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation (CVPR 2022)
Doloresofajj/Deformable-CNN-for-MixedWM38-pytorch
Thesis
Doloresofajj/happywhale-whale-dolphin-identify
Happywhale - Whale and Dolphin Identification || Identify whales and dolphins by unique characteristics
Doloresofajj/Imbalanced-Learning
Imbalanced learning tool for imbalanced recognition and segmentation
Doloresofajj/PyTorchVideoCompression
PyTorch implementation and benchmark of Video Compression
Doloresofajj/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Doloresofajj/SRVC
Official implementation of the "Efficient Video Compression via Content-Adaptive Super-Resolution" paper in Tensorflow.
Doloresofajj/Wafers-Defect-Recognition-using-Visual-Transformer
We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.