Visual-AI / HiLoLinks
The official repository for ICLR2025 paper "HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts"
☆18Updated 3 weeks ago
Alternatives and similar repositories for HiLo
Users that are interested in HiLo are comparing it to the libraries listed below
Sorting:
- The official repository for ICLR2024 paper "SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Pr…☆32Updated 4 months ago
- ☆39Updated last year
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆113Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆102Updated last year
- ☆34Updated 2 years ago
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆45Updated 2 years ago
- Code for our ICCV 2023 paper "Parametric Information Maximization for Generalized Category Discovery"☆16Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆27Updated 11 months ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆67Updated last year
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆73Updated 8 months ago
- Official code repo for CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆25Updated 2 weeks ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆35Updated 2 years ago
- Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"☆40Updated last year
- This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …☆33Updated 3 years ago
- The official repository for ECCV2024 paper "PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery"☆23Updated 4 months ago
- [ICML 2025] DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation☆22Updated 3 months ago
- [CVPR'24] Solving the Catastrophic Forgetting Problem in Generalized Category Discovery https://arxiv.org/pdf/2501.05272☆16Updated 8 months ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆66Updated 7 months ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated 2 years ago
- ☆54Updated last year
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆43Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 9 months ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- [ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework f…☆23Updated 8 months ago
- This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatio…☆34Updated 2 years ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆65Updated 2 years ago
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆35Updated last year
- [ECCV 2022] The official repository of our paper "BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free D…☆32Updated 2 years ago
- Official repository of ”Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning"☆34Updated 3 weeks ago