NJU-RINC / ConOSRLinks
Implementation of <Contrastive Open Set Recognition> （AAAI-23）
☆19Updated 2 years ago
Alternatives and similar repositories for ConOSR
Users that are interested in ConOSR are comparing it to the libraries listed below
Sorting:
- [TPAMI2022] Class Specific Semantic Reconstruction for Open Set Recognition☆54Updated last year
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆64Updated last year
- Domain Adaptation with Adversarial Training on Penultimate Activations (AAAI 2023)☆11Updated 2 years ago
- [CVPR 2023] Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery☆26Updated last year
- [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition☆177Updated 2 years ago
- ☆14Updated last year
- [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition☆42Updated 2 years ago
- ☆23Updated last year
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆33Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆27Updated last year
- [AAAI2024] Exploring Diverse Representations for Open Set Recognition☆25Updated last year
- [IMWUT/UbiComp 2024] Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition☆19Updated last year
- ☆13Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆37Updated last year
- Class-Incremental Learning: A Survey (TPAMI 2024)☆263Updated 10 months ago
- This repository focuses on the problem of Zero-Shot Open-Set Recognition (ZS-OSR), which aims to accurately classify samples from unseen…☆12Updated 2 years ago
- [CVPR 2024] The official repository of our paper "LEAD: Learning Decomposition for Source-free Universal Domain Adaptation"☆38Updated 4 months ago
- ☆45Updated 2 years ago
- [AAAI 2024] MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation☆18Updated last year
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 5 months ago
- ☆12Updated last year
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated 10 months ago
- MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-AdaptationCode for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)☆100Updated 2 years ago
- This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…☆26Updated last year
- [CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"☆17Updated 11 months ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆75Updated 5 months ago
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆59Updated 2 years ago
- OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning☆27Updated 3 weeks ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆132Updated last year
- PyTorch implementation of MGRB (TKDE2022)☆10Updated 3 years ago