XuDong Frank Wang (frank-xwang)

frank-xwang

Geek Repo

Company:UC Berkeley

Location:San Francisco Bay Area

Home Page:http://people.eecs.berkeley.edu/~xdwang/

Twitter:@XDWang101

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XuDong Frank Wang's starred repositories

RIDE-Swin-LongTailRecognition

Swin-Transformer-based version of RIDE (ICLR 2021 Spotlight)

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debiased-pseudo-labeling

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

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UniDet

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

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HSG

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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TokenCut

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

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ML-paper-notes

:notebook: Notes and summaries of various ML, Computer Vision & NLP papers.

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ConvNeXt

Code release for ConvNeXt model

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mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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Detic

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

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mmflow

OpenMMLab optical flow toolbox and benchmark

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CoOp

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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RIDE-LongTailRecognition

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

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DALL-E

PyTorch package for the discrete VAE used for DALL·E.

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convmixer

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

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exponential-moving-average-normalization

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

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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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VAI-ReinforcementLearning

[CVPR 2021] Official Implementation of VAI: Unsupervised Visual Attention and Invariance for Reinforcement Learning

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dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

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suncet

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

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fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

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VAI-ReinforcementLearning

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

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FixMatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

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towards-universal-object-detection

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

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TBC-TiedBlockConvolution

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

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CLD-UnsupervisedLearning

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

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