Stars
💡 A flexible tool for building and sharing deep learning modules.
Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)
Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
deep learning for image processing including classification and object-detection etc.
Online video stabilization using a novel MeshFlow motion model
A curated list of video stabilization methods
Official PyTorch implementation of the ECCV 2022 paper: Efficient Video Transformers with Spatial-Temporal Token Selection.
[NeurIPS 2021] Space-time Mixing Attention for Video Transformer
Code + pre-trained models for the paper Keeping Your Eye on the Ball Trajectory Attention in Video Transformers
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"
CVNets: A library for training computer vision networks
Code Release for MViTv2 on Image Recognition.
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
Scenic: A Jax Library for Computer Vision Research and Beyond