Stars
Stable Diffusion in NCNN with c++, supported txt2img and img2img
Implement custom operators in PyTorch with cuda/c++
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
youtubevos / MaskTrackRCNN
Forked from open-mmlab/mmdetectionMaskTrackRCNN for video instance segmentation based on mmdetection
AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception, CVPR 2022.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
[ICCV 2021] Crossover Learning for Fast Online Video Instance Segmentation
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
we want to create a repo to illustrate usage of transformers in chinese
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation, CVPR2022
Android human segmentation by ncnn
[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation
🛠 A lite C++ AI toolkit: 100+🎉 models (Stable-Diffusion, FaceFusion, YOLO series, Det, Seg, Matting) with MNN, ORT and TensorRT.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSy…
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Pytorch Implementation for "Deep Patch Learning for Weakly Supervised Object Classification and Discovery"
Implementation of Weakly Supervised Deep Detection Networks using the latest version of PyTorch
OpenMMLab Detection Toolbox and Benchmark