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anchordetr

An official implementation of the Anchor DETR.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

conditionaldetr

This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)

cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

detr-object-detection

End-to-End Object Detection with Transformers

fast-rcnn

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fgvc-pim

Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.

gzsl-od

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

huggingface-pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

mmdetection

OpenMMLab Detection Toolbox and Benchmark

pnp-detr

Implementation of ICCV21 paper: PnP-DETR: Towards Efficient Visual Analysis with Transformers

r-cnn

目标检测 - R-CNN算法实现

segmentation

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

simple-few-shot-object-detection

Implementations of few-shot object detection benchmarks

smca-detr

sparse-detr

PyTorch Implementation of Sparse DETR

surface-defect-detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

tph-yolov5

yolo-v1

an experiment for yolo-v1, including training and testing.

yolo-v2

PyTorch implementation of the YOLO (You Only Look Once) v2

yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

yolov4

Yolo v4 in pytorch, tensorflow and onnx

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

zero_shot_detection