Alternatives and similar repositories for CLIPN

Users that are interested in CLIPN are comparing it to the libraries listed below

• AtsuMiyai / Awesome-OOD-VLM
  Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, TMLR2025]
  ☆97Updated 4 months ago
• vishaal27 / SuS-X
  Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
  ☆105Updated 2 years ago
• ChengHan111 / E2VPT
  Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)
  ☆70Updated last year
• jameelhassan / PromptAlign
  [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
  ☆107Updated last year
• jusiro / CLAP
  [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…
  ☆78Updated 4 months ago
• winycg / CLIP-KD
  [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation
  ☆129Updated 2 months ago
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆100Updated 3 months ago
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆102Updated last year
• mzhaoshuai / RLCF
  [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.
  ☆93Updated last year
• sunxm2357 / DualCoOp
  Implementation for "DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations" (NeurIPS 2022))
  ☆67Updated 2 years ago
• CHENGY12 / PLOT
  [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
  ☆170Updated last year
• ZrrSkywalker / CaFo
  [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
  ☆43Updated 2 years ago
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆108Updated last year
• yangyangyang127 / APE
  [ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"
  ☆149Updated last year
• htyao89 / KgCoOp
  ☆103Updated last year
• muzairkhattak / PromptSRC
  [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…
  ☆276Updated 2 years ago
• ShuvenduRoy / CoPrompt
  [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models
  ☆82Updated last year
• altndrr / vic
  Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification
  ☆107Updated last year
• ryongithub / GatedPromptTuning
  ☆54Updated last year
• geekyutao / TaskRes
  Task Residual for Tuning Vision-Language Models (CVPR 2023)
  ☆73Updated 2 years ago
• Koorye / DePT
  [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"
  ☆108Updated 4 months ago
• YBZh / DMN
  CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
  ☆85Updated last year
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆108Updated 2 years ago
• vladan-stojnic / ZLaP
  Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)
  ☆43Updated last year
• ArsenalCheng / Meta-Adapter
  [NeurIPS 2023] Meta-Adapter
  ☆48Updated last year
• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆68Updated 2 years ago
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆58Updated last year
• ylingfeng / FGVP
  Official Codes for Fine-Grained Visual Prompting, NeurIPS 2023
  ☆55Updated last year
• fcdl94 / CoMFormer
  Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"
  ☆41Updated 2 years ago
• TJU-sjyj / AMU-Tuning
  ☆50Updated last year