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@Alibaba-MIIL

Alibaba-MIIL

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ASL

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

ImageNet21K

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

TResNet

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

ML_Decoder

Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)

STAM

Official implementation of "An Image is Worth 16x16 Words, What is a Video Worth?" (2021 paper)

Solving_ImageNet

Official PyTorch implementation of the paper: "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results" (2022)

PartialLabelingCSL

Official implementation for the paper: "Multi-label Classification with Partial Annotations using Class-aware Selective Loss"

AudioClassfication

HardCoReNAS

HeadSharingKD

Implementation of the paper "It's All in the Head: Representation Knowledge Distillation through Classifier Sharing"

ZS_SDL

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper

PETA

Official Pytorch Implementation of "PETA: Photo Albums Event Recognition using Transformers Attention" (2021)

CobBO

Coordinate Backoff Bayesian Optimization

alibaba-miil.github.io

Curated list of miil papers

knapsack_pruning

BINAS

Constructing interpretable bilinear accuracy predictors to serve as an objective function for an IQCQP problem that represents NAS under latency constraints and solve it with efficient algorithms.