taoyang1122 / adapt-image-models
[ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition
☆286Updated last year
Alternatives and similar repositories for adapt-image-models:
Users that are interested in adapt-image-models are comparing it to the libraries listed below
- [ICCV2023] UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer☆304Updated 11 months ago
- [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"☆342Updated 2 years ago
- Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)☆165Updated last year
- Code Release for MViTv2 on Image Recognition.☆417Updated 3 months ago
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆195Updated 2 years ago
- Video Swin Transformer - PyTorch☆244Updated 3 years ago
- PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529☆159Updated 2 years ago
- [CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting☆527Updated last year
- Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"☆243Updated 2 years ago
- Reading list for research topics in Masked Image Modeling☆331Updated 3 months ago
- ☆249Updated 2 years ago
- The codes for TCFormer in paper: Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer☆232Updated 7 months ago
- ☆171Updated 2 years ago
- Official repository for "Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting" [CVPR 2023]☆114Updated last year
- ☆503Updated 2 years ago
- PyTorch implementation of a collections of scalable Video Transformer Benchmarks.☆289Updated 2 years ago
- ☆192Updated 2 years ago
- ☆584Updated last year
- Official Open Source code for "Scaling Language-Image Pre-training via Masking"☆414Updated last year
- Frame Flexible Network (CVPR2023)☆55Updated last year
- [CVPR 2023] Official repository of paper titled "Fine-tuned CLIP models are efficient video learners".☆265Updated 11 months ago
- [ICLR 2022] TAda! Temporally-Adaptive Convolutions for Video Understanding. This codebase provides solutions for video classification, vi…☆230Updated last year
- ConvMAE: Masked Convolution Meets Masked Autoencoders☆493Updated last year
- [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning☆286Updated 2 years ago
- [CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking☆590Updated 4 months ago
- This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"☆539Updated last year
- Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23☆193Updated last year
- Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)☆427Updated 2 years ago
- DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021)☆152Updated 3 years ago
- ❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119☆1,085Updated last year