Alternatives and similar repositories for SugaFormer

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

• hy0Y / ST-GT
  [CVPR 2024] Official repository of ST_GT
  ☆10Updated last year
• mzhaoshuai / RLCF
  [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.
  ☆92Updated last year
• naver-ai / lut
  [ECCV 2024] Official PyTorch implementation of LUT "Learning with Unmasked Tokens Drives Stronger Vision Learners"
  ☆13Updated 10 months ago
• andytu28 / VQT
  ☆22Updated 2 years ago
• mlvlab / RALF
  Official implementation of CVPR 2024 paper "Retrieval-Augmented Open-Vocabulary Object Detection".
  ☆43Updated last year
• mlvlab / ProMetaR
  Official implementation of CVPR 2024 paper "Prompt Learning via Meta-Regularization".
  ☆29Updated 7 months ago
• Haochen-Wang409 / HPM
  [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining
  ☆102Updated 5 months ago
• JoakimHaurum / TokenReduction
  Official PyTorch implementation of Which Tokens to Use? Investigating Token Reduction in Vision Transformers presented at ICCV 2023 NIVT …
  ☆34Updated 2 years ago
• mlvlab / MCTF
  Official implementation of CVPR 2024 paper "Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers".
  ☆39Updated 2 months ago
• val-iisc / DeiT-LT
  [CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"
  ☆44Updated 9 months ago
• OliverRensu / ARM
  [ICLR2025] This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision
  ☆85Updated 4 months ago
• lixinustc / GraphAdapter
  The efficient tuning method for VLMs
  ☆79Updated last year
• naver-ai / cl-vs-mim
  (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"
  ☆110Updated last year
• kaist-dmlab / pcb
  Official PyTorch Implementation for Active Prompt Learning in Vision Language Models
  ☆37Updated last year
• dogehhh / ReCLIP
  Pytorch Implementation for CVPR 2024 paper: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
  ☆53Updated last month
• lezhang7 / SAIL
  [CVPR 2025 Highlight] Official Pytorch codebase for paper: "Assessing and Learning Alignment of Unimodal Vision and Language Models"
  ☆49Updated last month
• ZhengYu518 / VL-Mamba
  Implementation of "VL-Mamba: Exploring State Space Models for Multimodal Learning"
  ☆84Updated last year
• JoakimHaurum / ATC
  Official PyTorch implementation of Agglomerative Token Clustering presented at ECCV 2024
  ☆18Updated last year
• YBZh / DMN
  CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
  ☆84Updated last year
• zhaohengz / LLaMP
  Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"
  ☆38Updated last year
• mlvlab / DAPT
  Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)
  ☆43Updated last year
• xjjxmu / TextRefiner
  The official code for "TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning" | [AAAI2025]
  ☆44Updated 6 months ago
• renytek13 / Soft-Prompt-Generation
  [ECCV 2024] Soft Prompt Generation for Domain Generalization
  ☆27Updated last year
• xmed-lab / CLIPN
  ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
  ☆139Updated last year
• UMass-Embodied-AGI / Mod-Squad
  ☆92Updated 2 years ago
• Haochen-Wang409 / DropPos
  [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
  ☆61Updated last year
• mlvlab / OVQA
  Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models (ICCV 20…
  ☆18Updated last year
• mlvlab / RPO
  Official Implementation of "Read-only Prompt Optimization for Vision-Language Few-shot Learning", ICCV 2023
  ☆54Updated 2 years ago
• miccunifi / Cross-the-Gap
  [ICLR 2025] - Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
  ☆53Updated 5 months ago
• Atten4Vis / CAE
  This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
  ☆117Updated last year