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awesome-anchor-free-object-detection

In this project, we focus on collection the anchor free object detection paper or code.

build-cython_bbox.so

crossstagepartialnetworks

Cross Stage Partial Networks

cvpr_zsd

darknet

Convolutional Neural Networks

denseclip

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

dota_devkit

face-detection-with-mobilenet-ssd

Face detection with mobilenet-ssd written by Keras.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

focalsconv

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

icassp2022_viom

jstars_mtldet

mmdetection

OpenMMLab Detection Toolbox and Benchmark

multisource-image-fusion-transformer

A transformer-based image fusion method for classification and segmantation.

nc_psnet

This is the official implementation of PSNet

promptdet

PromptDet: Expand Your Detector Vocabulary with Uncurated Images

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

pytorch_text2speech

Train your own voice for text 2 speech

robust-classification-1

CVPR2022 Workshop Robust Classification

roitransformer_dota

sample_dataset_public

The Synthetic and Measured Paired Labeled Experiment.

scenechangedet

pytorch implementation of scene change detection

ship-go

starter-hugo-academic

tensorflow_models_learning

tensorflow GoogleNet inception V1 V2 V3 V4

tiny-yolo-objection-detection

This repository was forked from https://github.com/nilboy/tensorflow-yolo and trained on own data.

view-angle-invariant-object-monitoring-without-image-registration

Object monitoring can be performed by change detection algorithms. However, for the image pair with a large perspective difference, the change detection performance is usually impacted by inaccurate image registration. To address the above difficulties, a novel object-specific change detection approach is proposed for object monitoring in this paper. In contrast to traditional approaches, the proposed approach is robust to view angle variation and does not require explicit image registration. Experiments demonstrate the effectiveness and advantages of the proposed approach.

voc2coco

Convert pascol voc annotation xml to COCO json format.

whu-opt-sar-dataset

Open source dataset; multimodal fusion；remote sensing；optical images; SAR images；deep learning