XinZhangRadar

awesome-anchor-free-object-detection

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

Build-cython_bbox.so

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

ICASSP2022_ViOM

JSTARs_MTLDet

Multisource-image-fusion-transformer

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

NC_PSNet

This is the official implementation of PSNet

Ship-Go

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.

Xml-document-modify

You can modify some property in the xml document.

XinZhangRadar/awesome-anchor-free-object-detection

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

XinZhangRadar/Xml-document-modify

You can modify some property in the xml document.

XinZhangRadar/Ship-Go

XinZhangRadar/Build-cython_bbox.so

XinZhangRadar/Multisource-image-fusion-transformer

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

XinZhangRadar/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.

XinZhangRadar/JSTARs_MTLDet

XinZhangRadar/faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

XinZhangRadar/ICASSP2022_ViOM

XinZhangRadar/NC_PSNet

This is the official implementation of PSNet

XinZhangRadar/PromptDet

PromptDet: Expand Your Detector Vocabulary with Uncurated Images

XinZhangRadar/CrossStagePartialNetworks

Cross Stage Partial Networks

XinZhangRadar/CVPR_ZSD

XinZhangRadar/darknet

Convolutional Neural Networks

XinZhangRadar/DenseCLIP

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

XinZhangRadar/DetectoRS

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

XinZhangRadar/DOTA_devkit

XinZhangRadar/Face-detection-with-mobilenet-ssd

Face detection with mobilenet-ssd written by Keras.

XinZhangRadar/FocalsConv

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

XinZhangRadar/mmdetection

OpenMMLab Detection Toolbox and Benchmark

XinZhangRadar/pytorch-maddpg

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

XinZhangRadar/Robust-Classification-1

CVPR2022 Workshop Robust Classification

XinZhangRadar/RoITransformer_DOTA

XinZhangRadar/SAMPLE_dataset_public

The Synthetic and Measured Paired Labeled Experiment.

XinZhangRadar/SceneChangeDet

pytorch implementation of scene change detection

XinZhangRadar/starter-hugo-academic

XinZhangRadar/tensorflow_models_learning

tensorflow GoogleNet inception V1 V2 V3 V4

XinZhangRadar/tiny-yolo-objection-detection

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

XinZhangRadar/WHU-OPT-SAR-dataset

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

XinZhangRadar/Zero-shot-Instance-Segmentation

code for CVPR paper Zero-shot Instance Segmentation