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This is the pytorch re-implementation of the IterNorm
Code for Decorrelated Batch Normalization
Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024
The official implementation of the NeurIPS 2022 paper Q-ViT.
[EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit".
Awesome LLM compression research papers and tools.
Pytorch implementation of F3Net (ECCV 2020 F3Net: Frequency in Face Forgery Network)
official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
A collection of pre-trained, state-of-the-art models in the ONNX format
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
[CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".
[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
End-to-End Object Detection with Transformers
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
北京航空航天大学(北航)课程作业资料共享计划
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
A Pytorch Quantization for YOLO series: High accuracy, Low latency and Easy to use ~