Stars
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
Official code of CVPR 2023 Highlight paper CVT-SLR
This is the official code implementation for 'What, How, and When Should Object Detectors Update in Continually Changing Test Domains?' presented at CVPR 2024.
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
Official PyTorch implementation of ICCV 2019 paper "DPOD: 6D Pose Object Detector and Refiner"
Pytorch implementation of Generated Image Quality Assessment
Code for ALBEF: a new vision-language pre-training method
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
LAVIS - A One-stop Library for Language-Vision Intelligence
PyTorch extensions for high performance and large scale training.
The official GitHub page for the survey paper "A Survey of Large Language Models".
Simple Implementation of Pix2Seq model for object detection in PyTorch
Image-to-image translation with conditional adversarial nets
A technical report on convolution arithmetic in the context of deep learning
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
This is an official implementation for "Making Vision Transformers Efficient from A Token Sparsification View".
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution
[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"
[ECCV'22] The official PyTorch implementation of our ECCV 2022 paper: "AiATrack: Attention in Attention for Transformer Visual Tracking".