Alternatives and similar repositories for TaCA

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

• Vibashan / Mask-free-OVIS
  Official Pytorch codebase for Open-Vocabulary Instance Segmentation without Manual Mask Annotations [CVPR 2023]
  ☆50Updated 7 months ago
• hustvl / RILS
  [CVPR 2023] RILS: Masked Visual Reconstruction in Language Semantic Space (https://arxiv.org/abs/2301.06958)
  ☆45Updated last year
• YukunLi99 / AdaptSAM
  ☆21Updated 2 years ago
• TencentARC / FLM
  Accelerating Vision-Language Pretraining with Free Language Modeling (CVPR 2023)
  ☆32Updated 2 years ago
• hbdat / cvpr22_cross_modal_pseudo_labeling
  Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling @ CVPR22
  ☆42Updated 2 years ago
• showlab / datacentric.vlp
  Compress conventional Vision-Language Pre-training data
  ☆51Updated last year
• yuhangzang / UPT
  ☆58Updated 3 months ago
• facebookresearch / PLRC
  Code for Point-Level Regin Contrast (https//arxiv.org/abs/2202.04639)
  ☆35Updated 2 years ago
• codezakh / LilT
  [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning
  ☆40Updated 2 years ago
• UniAdapter / UniAdapter
  ☆25Updated 2 years ago
• TencentARC / TVTS
  Turning to Video for Transcript Sorting
  ☆48Updated last year
• omipan / svl_adapter
  SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models
  ☆20Updated last year
• machengcheng2016 / Subspace-Prompt-Learning
  Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)
  ☆28Updated last year
• gaopengcuhk / BALLAD
  ☆59Updated 3 years ago
• bruceyo / V-PETL
  Towards a Unified View on Visual Parameter-Efficient Transfer Learning
  ☆26Updated 2 years ago
• ziplab / FASeg
  [CVPR 2023] This is the official PyTorch implementation for "Dynamic Focus-aware Positional Queries for Semantic Segmentation".
  ☆59Updated 2 years ago
• megvii-research / protoclip
  📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)
  ☆53Updated last year
• aquastripe / DenseCLIP
  An unofficial implementation for paper "DenseCLIP: Extract Free Dense Labels from CLIP"
  ☆23Updated 3 years ago
• renwang435 / video-ttt-release
  Test-Time Training on Video Streams
  ☆64Updated 2 years ago
• jochemloedeman / PGN
  Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers. Jochem Loedeman, Maarten C. Stol, Tengda Han, Yuki M…
  ☆42Updated 11 months ago
• CVMI-Lab / clip-beyond-tail
  (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
  ☆27Updated 9 months ago
• jamessealesmith / ConStruct-VL
  PyTorch code for the CVPR'23 paper: "ConStruct-VL: Data-Free Continual Structured VL Concepts Learning"
  ☆14Updated last year
• sheng-eatamath / S3A
  repo for paper titled: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment (AAAI'24 Oral)
  ☆25Updated last year
• mlvlab / DAPT
  Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)
  ☆41Updated last year
• bytedance / DQ-Det
  Codes for ICML 2023 Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
  ☆37Updated last year
• BIT-DA / BorLan
  [ICCV2023] Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm
  ☆18Updated last year
• tripletclip / TripletCLIP
  [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"
  ☆41Updated 8 months ago
• Paranioar / UniPT
  [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
  ☆67Updated 10 months ago
• zejiangh / MILAN
  PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…
  ☆83Updated 3 years ago
• pals-ttic / adapting-CLIP
  ☆64Updated last year