CVHub520 / efficientvitLinks
EfficientViT is a new family of vision models for efficient high-resolution vision.
☆30Updated 2 years ago
Alternatives and similar repositories for efficientvit
Users that are interested in efficientvit are comparing it to the libraries listed below
Sorting:
- Official Pytorch implementation for "IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION" [ICLR 2025]☆61Updated 10 months ago
- Generalist YOLO: Towards Real-Time End-to-End Multi-Task Visual Language Models☆87Updated 9 months ago
- Zero-label image classification via OpenCLIP knowledge distillation☆142Updated 2 years ago
- [NeurIPS2022] This is the official implementation of the paper "Expediting Large-Scale Vision Transformer for Dense Prediction without Fi…☆86Updated 2 years ago
- Code of paper "A new baseline for edge detection: Make Encoder-Decoder great again"☆40Updated 7 months ago
- Object tracking pipelines complete with RF-DETR, YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking☆84Updated 7 months ago
- Official Pytorch Implementation of Self-emerging Token Labeling☆35Updated last year
- SAM-CLIP module for use with Autodistill.☆17Updated 2 years ago
- Code release for the CVPR'23 paper titled "PartDistillation Learning part from Instance Segmentation"☆60Updated 2 years ago
- Codebase for the Recognize Anything Model (RAM)☆88Updated 2 years ago
- EdgeSAM model for use with Autodistill.☆29Updated last year
- Python scripts performing Open Vocabulary Object Detection using the YOLO-World model in ONNX.☆62Updated last year
- Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"☆102Updated last year
- Auto Segmentation label generation with SAM (Segment Anything) + Grounding DINO☆22Updated 11 months ago
- Image/Instance Retrieval using CLIP, A self supervised Learning Model☆29Updated 2 years ago
- YOLO-World + EfficientViT SAM☆106Updated last year
- Baby-DALL3: Annotation anything in visual tasks and Generate anything just all in one-pipeline with GPT-4 (a small baby of DALL·E 3).☆85Updated 2 years ago
- Official Training and Inference Code of Amodal Expander, Proposed in Tracking Any Object Amodally☆19Updated last year
- EfficientSAM + YOLO World base model for use with Autodistill.☆10Updated last year
- Multi-Class Few-Shot Semantic Segmentation with Visual Prompts☆86Updated last month
- Add MobileSAM support for Inpaint anything using Segment Anything and inpainting models.☆54Updated 2 years ago
- Official Code for Tracking Any Object Amodally☆120Updated last year
- SSA + FastSAM/Semantic Fast Segment Anything , or Fast Semantic Segment Anything☆114Updated 2 months ago
- Open-Vocabulary Panoptic Segmentation☆27Updated 7 months ago
- [WACV 2025] Efficient Video Object Segmentation via Modulated Cross-Attention Memory☆60Updated 11 months ago
- HunyuanDiT with TensorRT and libtorch☆18Updated last year
- Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…☆37Updated 2 years ago
- Official PyTorch implementation of "No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding"☆32Updated last year
- Timm model explorer☆42Updated last year
- Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.☆134Updated last year