fundamentalvision / Uni-PerceiverLinks
☆279Updated 2 years ago
Alternatives and similar repositories for Uni-Perceiver
Users that are interested in Uni-Perceiver are comparing it to the libraries listed below
Sorting:
- Official Open Source code for "Scaling Language-Image Pre-training via Masking"☆426Updated 2 years ago
- Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"☆258Updated last year
- CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet☆219Updated 2 years ago
- SVIT: Scaling up Visual Instruction Tuning☆163Updated last year
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆282Updated last year
- A full-fledged version of Pix2Seq☆239Updated 3 years ago
- ☆118Updated last year
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆83Updated 2 years ago
- [CVPR2023] The code for 《Position-guided Text Prompt for Vision-Language Pre-training》☆152Updated 2 years ago
- [Under preparation] Code repo for "Open-Vocabulary DETR with Conditional Matching" (ECCV 2022)☆228Updated 2 years ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆233Updated last year
- Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)☆169Updated 3 weeks ago
- PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022☆166Updated 2 years ago
- Densely Captioned Images (DCI) dataset repository.☆186Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆183Updated last year
- Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks (NeurIPS2022)☆85Updated 2 years ago
- [NeurIPS 2024] Classification Done Right for Vision-Language Pre-Training☆211Updated 3 months ago
- [ICCV 2023] You Only Look at One Partial Sequence☆342Updated last year
- SeqTR: A Simple yet Universal Network for Visual Grounding☆139Updated 8 months ago
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆238Updated last year
- A temporary webpage for our survey in AGI for computer vision☆119Updated last year
- [CVPR 2023] implementation of Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information.☆90Updated 2 years ago
- Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs☆91Updated 5 months ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆177Updated last year
- [NeurIPS 2024] Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning☆69Updated 5 months ago
- [ICLR 2023] PyTorch implementation of VLDet (https://arxiv.org/abs/2211.14843)☆189Updated last year
- Official implementation and data release of the paper "Visual Prompting via Image Inpainting".☆311Updated last year
- Pytorch code for paper From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models☆199Updated 6 months ago
- ☆258Updated 2 years ago
- Open-vocabulary Semantic Segmentation☆176Updated 2 years ago