Alternatives and similar repositories for LFS-GAN

Users that are interested in LFS-GAN are comparing it to the libraries listed below

• KU-VGI / GUIDE
  [CVPR 2024] Generative Unlearning for Any Identity
  ☆33Updated 11 months ago
• GilhanPark / ECCV2024_MBS
  [ECCV2024] Mitigating Background Shift in Class-Incremental Semantic Segmentation
  ☆35Updated last year
• naver-ai / i-Blurry
  Official Pytorch implementation of Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference (ICLR …
  ☆54Updated 3 years ago
• KU-VGI / Si-Blurry
  Official repository for Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning on ICCV 20…
  ☆27Updated last year
• naver-ai / dap-cl
  Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"
  ☆43Updated 2 years ago
• wjun0830 / Difficulty-Aware-Simulator
  Official PyTorch Repository of "Difficulty-Aware Simulator for Open Set Recognition" (ECCV 2022 Paper)
  ☆43Updated 2 years ago
• SUSI-Lab / Awesome-Continual-Test-Time-Adaptation
  ☆43Updated last year
• KU-VGI / PriViLege
  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  ☆55Updated last year
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆109Updated 2 years ago
• zysong0113 / SAVC
  [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
  ☆75Updated last year
• khanrc / miro
  Official PyTorch implementation of MIRO (ECCV 2022)
  ☆88Updated 3 years ago
• JH-LEE-KR / dualprompt-pytorch
  PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
  ☆127Updated 2 years ago
• daeunni / BECoTTA
  Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".
  ☆47Updated last year
• ryongithub / GatedPromptTuning
  ☆55Updated 2 years ago
• kaist-cvml / I-HallA-v1.0
  [AAAI 2025] Official Implementation of I-HallA v1.0
  ☆13Updated last year
• GT-RIPL / CODA-Prompt
  PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
  ☆156Updated 2 years ago
• iamwangyabin / S-Prompts
  Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“
  ☆106Updated last year
• CanPeng123 / FSCIL_ALICE
  ☆33Updated 2 years ago
• linlany / RAPF
  ☆49Updated 9 months ago
• lovelyqian / StyleAdv-CDFSL
  Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
  ☆64Updated 7 months ago
• tmtuan1307 / NAYER
  [CVPR-2024] NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
  ☆16Updated last year
• KU-VGI / OCGCD
  [ECCV 2024] Online Continuous Generalized Category Discovery
  ☆14Updated last year
• csm9493 / L2UL
  Official Code of Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers (AAAI 2024)
  ☆18Updated last year
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆102Updated 6 months ago
• JH-LEE-KR / l2p-pytorch
  PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
  ☆203Updated 2 years ago
• naver-ai / clip4dm
  Official PyTorch implementation of Extract Free Dense Misalignment from CLIP (AAAI'25)
  ☆25Updated 9 months ago
• mzhaoshuai / RLCF
  [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.
  ☆97Updated 3 months ago
• wangkiw / TEEN
  The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch
  ☆68Updated 2 years ago
• FelixHuiweiLin / PCR
  Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
  ☆27Updated 2 years ago
• JJuOn / paper-crawler
  Crawler for annual (biennial) AI conference papers
  ☆10Updated last year