xinyu1205 / robust-loss-mlml
Code for paper: Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
☆51Updated 2 years ago
Alternatives and similar repositories for robust-loss-mlml:
Users that are interested in robust-loss-mlml are comparing it to the libraries listed below
- VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition☆68Updated 2 years ago
- Official Implementation of AlignMixup - CVPR 2022☆71Updated 3 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆69Updated last year
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆28Updated last year
- ☆59Updated 3 years ago
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆53Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆65Updated last year
- MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)☆34Updated 3 weeks ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆46Updated last year
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆82Updated 2 years ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆27Updated last year
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆91Updated 3 years ago
- 📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)☆52Updated last year
- Multi-label Image Recognition with Partial Labels (IJCV'24, ESWA'24, AAAI'22)☆38Updated 8 months ago
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆114Updated 3 years ago
- Fine-grained Angular Contrastive Learning with Coarse Labels - Official Repository☆49Updated 3 years ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆159Updated last year
- PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆38Updated 2 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆89Updated last year
- TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)☆93Updated 2 years ago
- ☆25Updated last year
- ☆39Updated 2 months ago
- ☆61Updated last year
- [CVPR'23] Hard Patches Mining for Masked Image Modeling☆91Updated last year
- Code implementation for the paper: Supervised Masked Knowledge Distillation for Few-Shot Transformers☆41Updated 2 years ago
- ☆56Updated 2 years ago
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆105Updated last year
- This repository contains the code and datasets for our ICCV-W paper 'Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts…☆28Updated last year
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆58Updated 3 years ago