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(ICCV'23) Learning to Upsample by Learning to Sample
The open-source tool for building high-quality datasets and computer vision models
GLIDE: a diffusion-based text-conditional image synthesis model
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
The release codes of LA-MCTS with its application to Neural Architecture Search.
Fully Convolutional Networks for Panoptic Segmentation (CVPR2021 Oral)
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.
Official code Cross-Covariance Image Transformer (XCiT)
Multi-Scale Aligned Distillation for Low-Resolution Detection (CVPR2021)
D2Go is a toolkit for efficient deep learning
Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
Implementation of momentum^2 teacher
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021
All-in-one Toolbox for Computer Vision Research.
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
Official PyTorch Implementation of aLRP Loss [NeurIPS2020]
Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
Corner Proposal Network for Anchor-free, Two-stage Object Detection
A PyTorch implementation of the paper `Probabilistic Anchor Assignment with IoU Prediction for Object Detection` ECCV 2020 (https://arxiv.org/abs/2007.08103)
Pytorch library for fast transformer implementations
Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models