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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A paper list of object detection using deep learning.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Pytorch implementation of convolutional neural network visualization techniques
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Unsupervised Learning for Image Registration
Reformer, the efficient Transformer, 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)
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119
Implementations of recent research prototypes/demonstrations using MONAI.
Bottom-up Object Detection by Grouping Extreme and Center Points
A PyTorch Implementation of Focal Loss.