CVHub520 / efficientvitLinks
EfficientViT is a new family of vision models for efficient high-resolution vision.
☆26Updated last year
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]☆54Updated 4 months ago
- [NeurIPS2022] This is the official implementation of the paper "Expediting Large-Scale Vision Transformer for Dense Prediction without Fi…☆85Updated last year
- Official Training and Inference Code of Amodal Expander, Proposed in Tracking Any Object Amodally☆18Updated last year
- SAM-CLIP module for use with Autodistill.☆15Updated last year
- Code of paper "A new baseline for edge detection: Make Encoder-Decoder great again"☆38Updated last month
- Generalist YOLO: Towards Real-Time End-to-End Multi-Task Visual Language Models☆77Updated 3 months ago
- Official Pytorch Implementation of Self-emerging Token Labeling☆35Updated last year
- Zero-label image classification via OpenCLIP knowledge distillation☆134Updated last year
- HunyuanDiT with TensorRT and libtorch☆17Updated last year
- Timm model explorer☆41Updated last year
- Add MobileSAM support for Inpaint anything using Segment Anything and inpainting models.☆52Updated 2 years ago
- Python scripts performing Open Vocabulary Object Detection using the YOLO-World model in ONNX.☆57Updated last year
- Codebase for the Recognize Anything Model (RAM)☆82Updated last year
- Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"☆101Updated 10 months ago
- ONNX-compatible DocShadow: High-Resolution Document Shadow Removal. Supports TensorRT 🚀☆23Updated last year
- Object tracking pipelines complete with RF-DETR, YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking☆78Updated 2 months ago
- Auto Segmentation label generation with SAM (Segment Anything) + Grounding DINO☆20Updated 5 months ago
- EfficientSAM + YOLO World base model for use with Autodistill.☆10Updated last year
- NoisyNN: Exploring the impact of information entropy change in learning systems☆22Updated 8 months ago
- Demos for how to use the shared libs of Lite.AI.ToolKit🚀🚀🌟. (https://github.com/DefTruth/lite.ai.toolkit)☆7Updated 3 years ago
- A faster implementation of OpenCV-CUDA that uses OpenCV objects, and more!☆51Updated last week
- EdgeSAM model for use with Autodistill.☆27Updated last year
- Python scripts performing optical flow estimation using the NeuFlowV2 model in ONNX.☆49Updated 10 months ago
- Pruned CoTracker architecture for tracking the myocardium in 2D echo images.☆15Updated 3 months ago
- YOLO-World + EfficientViT SAM☆103Updated last year
- ☆34Updated last year
- Adobe-EntitySeg dataset☆42Updated 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).☆83Updated last year
- This method uses Segment Anything and CLIP to ground and count any object that matches a custom text prompt, without requiring any point …☆168Updated 2 years ago
- A component that allows you to annotate an image with points and boxes.☆21Updated last year