frank-xwang

HIPIE

[NeurIPS2023] Code release for "Hierarchical Open-vocabulary Universal Image Segmentation"

CutLER

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

CLD-UnsupervisedLearning

[CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."

debiased-pseudo-labeling

[CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”

InstanceDiffusion

[CVPR 2024] Code release for "InstanceDiffusion: Instance-level Control for Image Generation"

RIDE-LongTailRecognition

[ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."

TBC-TiedBlockConvolution

[AAAI 2021] Pytorch implementation for "Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters."

towards-universal-object-detection

[CVPR 2019] Pytorch implementation for "Towards Universal Object Detection by Domain Attention."

UnSAM

[NeurIPS 2024] Code release for "Segment Anything without Supervision"

U2Seg

[CVPR 2024] Code release for "Unsupervised Universal Image Segmentation"

frank-xwang/InstanceDiffusion

[CVPR 2024] Code release for "InstanceDiffusion: Instance-level Control for Image Generation"

frank-xwang/UnSAM

[NeurIPS 2024] Code release for "Segment Anything without Supervision"

frank-xwang/RIDE-LongTailRecognition

[ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."

frank-xwang/CLD-UnsupervisedLearning

[CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."

frank-xwang/debiased-pseudo-labeling

[CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”

frank-xwang/towards-universal-object-detection

[CVPR 2019] Pytorch implementation for "Towards Universal Object Detection by Domain Attention."

frank-xwang/TBC-TiedBlockConvolution

[AAAI 2021] Pytorch implementation for "Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters."

frank-xwang/VAI-ReinforcementLearning

[CVPR 2021] Pytorch implementation for "Unsupervised Visual Attention and Invariance for Reinforcement Learning."

frank-xwang/ComfyUI-InstanceDiffusion

frank-xwang/CutLER

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

frank-xwang/assets

frank-xwang/CLIP

Contrastive Language-Image Pretraining

frank-xwang/detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

frank-xwang/FeatureTransfer

[CVPR 2018 Oral] Caffe implementation for "Feature Space Transfer for Data Augmentation."

frank-xwang/darrellgroup.github.io

Website for Trevor Darrell's group at Berkeley

frank-xwang/Detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

frank-xwang/exponential-moving-average-normalization

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

frank-xwang/HIPIE

frank-xwang/LaViLa

Code release for "Learning Video Representations from Large Language Models"

frank-xwang/MarioNette

Code for MarioNette: Self-Supervised Sprite Learning, in NeurIPS 2021

frank-xwang/Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

frank-xwang/pycls

Codebase for Image Classification Research, written in PyTorch.

frank-xwang/RIDE-Swin-LongTailRecognition

frank-xwang/sslneurips24.github.io

frank-xwang/U2Seg

frank-xwang/UniDet

Object detection on multiple datasets with an automatically learned unified label space.

frank-xwang/VideoAutoencoder

Video Autoencoder: self-supervised disentanglement of 3D structure and motion (ICCV 2021). Website: https://zlai0.github.io/VideoAutoencoder/

frank-xwang/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch