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Various hashing methods for image retrieval and serves as the baselines
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Enabling easy statistical significance testing for deep neural networks.
A Chinese edition of the Not So Short Introduction to LaTeX2ε
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018
Pytorch Implementation of Tensor Fusion Networks for multimodal sentiment analysis.
Tensor factorizations using neural networks in PyTorch
Models and examples built with TensorFlow
Video Summarization with Self-Attention Based Encoder-Decoder Framework
A PyTorch Implementation of AC-SUM-GAN from "AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization" (IEEE TCSVT 2021)
DSNet: A Flexible Detect-to-Summarize Network for Video Summarization
Useful functions, tutorials, and other Python-related things
Full Speed Python: a book for self-learners
Jupyter notebooks for teaching/learning Python 3
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…
Pytorch implementation of convolutional neural network visualization techniques
Official implementation of Score-CAM in PyTorch
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
Implementation of Batch Normalization Layer by Theano. Test Code with MNIST data.
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules