CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Public facing notes page

PhotoMaker [CVPR 2024]

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

High Quality Monocular Depth Estimation via Transfer Learning

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well …

PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

assistant tools for attention visualization in deep learning

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

code and model of Pyramid Feature Selective Network for Saliency detection

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best Paper Finalist)

The Code of Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection(CVPR2019)

Self-Supervised Representation Learning of Semiconductor Wafer Maps using PyTorch