Alternatives and similar repositories for Happy-CGCD:

Users that are interested in Happy-CGCD are comparing it to the libraries listed below

• mashijie1028 / ActiveGCD
  Official code for CVPR 2024 paper "Active Generalized Category Discovery"
  ☆50Updated 5 months ago
• OatmealLiu / MSc-iNCD
  [ICPR'24 Oral] Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
  ☆43Updated 9 months ago
• OatmealLiu / class-iNCD
  PyTorch implementation for the paper Class-incremental Novel Class Discovery (ECCV 2022)
  ☆119Updated 6 months ago
• cly234 / DeepClustering-ConNR
  Official Implementation of NeurIPS 2023 Contextually Affinitive Neighborhood Refinery for Deep Clustering
  ☆47Updated last year
• yxymessi / H2E-Framework
  [ECCV2022,oral] Identifying Hard Noise in Long-Tailed Sample Distribution
  ☆73Updated 2 years ago
• Wenlve-Zhou / VLP-UDA
  (TCSVT 2024) Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
  ☆36Updated 8 months ago
• weijiaheng / Drops
  [ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
  ☆34Updated last year
• mendicant04 / OMEGA
  Code and data released for paper "Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment"
  ☆23Updated 2 years ago
• MingXiangL / SPE
  Official implementation of ECCV2022 paper End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution
  ☆102Updated last year
• deep-optimization / ScaleKD
  The official project website of "ScaleKD: Strong Vision Transformers Could Be Excellent Teachers" (ScaleKD for short, accepted to NeurIPS…
  ☆53Updated 2 months ago
• tntek / source-free-domain-adaptation
  A unified source-free domain adaptation framework.
  ☆167Updated 2 weeks ago
• UCSC-REAL / negative-label-smoothing
  [ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
  ☆96Updated 2 years ago
• OatmealLiu / FineR
  [ICLR'24] Democratizing Fine-grained Visual Recognition with Large Language Models
  ☆172Updated 8 months ago
• jincan333 / LoR-VP
  LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation (ICLR 2025)
  ☆28Updated last month
• lwpyh / ProMaC_code
  [NeurIPS'24] Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
  ☆57Updated 4 months ago
• ZhenchaoTang / Fine-grainedImageClassification
  Weakly Supervised Posture Mining with Reverse Cross-entropy for Fine-grained Classification
  ☆27Updated last year
• Flashkong / COIN
  [NeurIPS' 24] Official implementation of the paper "Cloud Object Detector Adaptation by Integrating Different Source Knowledge"
  ☆35Updated 3 weeks ago
• caoql98 / DCPL
  Domain-Controlled Prompt Learning （AAAI2024）
  ☆88Updated 4 months ago
• RenshengJi / C-CoTTA
  The official repository of C-CoTTA: Controllable Continual Test-Time Adaptation
  ☆10Updated 9 months ago
• caoql98 / DPLQ
  Domain Prompt Learning with Quaternion Networks （CVPR2024 Highlight)
  ☆78Updated 3 months ago
• UCSC-REAL / CAL
  A Second-Order Approach to Learning with Instance-Dependent Label Noise (CVPR'21 oral)
  ☆42Updated 2 years ago
• darkpromise98 / IAA
  [TMM-2022] Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning, IEEE Transactions on Multimedia (T-MM), 2…
  ☆29Updated last year
• joffery / TRO
  The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)
  ☆25Updated 2 years ago
• DesertsP / SLRNet
  🚀 Code for SLRNet: Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
  ☆63Updated 2 years ago
• Wangt-CN / IP-IRM
  [NeurIPS 2021 Spotlight] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"
  ☆121Updated last year
• Biqing-Qi / Interactive-continual-Learning-Fast-and-Slow-Thinking
  [CVPR 2024] Interactive continual learning: Fast and slow thinking
  ☆98Updated 8 months ago
• UCSC-REAL / cifar-10-100n
  Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
  ☆172Updated last year
• ZiyuGuo99 / CALIP
  [AAAI 2023] Zero-Shot Enhancement of CLIP with Parameter-free Attention
  ☆88Updated last year
• weijiaheng / Multi-class-Peer-Loss-functions
  Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).
  ☆19Updated 2 years ago
• cyh-0 / CAVP
  Official code for "A Closer Look at Audio-Visual Segmentation"
  ☆94Updated last month