Pinned Repositories
ACSL
Adaptive Class Suppression Loss for Long-Tail Object Detection--CVPR2021
Active-Convolution
Active Convolution
AI_Challenger_2018
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/
caffe-model
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
Caffe2-C-demo
Show how to use Caffe2 in C++ through a simple LeNet sample project
Caffe2-iOS
Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
CoupleNet
Code for training 'CoupleNet: Coupling Global Structure with Local Parts for Object Detection' in ICCV 2017
CoupleNet-model
deepdraw
Notebook example of how to generate class visualizations with Caffe
tshizys's Repositories
tshizys/CoupleNet
Code for training 'CoupleNet: Coupling Global Structure with Local Parts for Object Detection' in ICCV 2017
tshizys/ACSL
Adaptive Class Suppression Loss for Long-Tail Object Detection--CVPR2021
tshizys/AI_Challenger_2018
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/
tshizys/caffe-model
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
tshizys/Caffe2-C-demo
Show how to use Caffe2 in C++ through a simple LeNet sample project
tshizys/Caffe2-iOS
Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
tshizys/chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
tshizys/CoupleNet-model
tshizys/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
tshizys/Detectron-Cascade-RCNN
tshizys/drn
Dilated Residual Networks
tshizys/Focal-Loss
Reproduction of Focal-loss on caffe
tshizys/HyperDL-Tutorial
深度学习教程整理 | 干货
tshizys/HyperLPR
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
tshizys/MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.
tshizys/models
A repository for storing pre-trained Caffe2 models.
tshizys/Multitarget-tracker
Hungarian algorithm + Kalman filter multitarget tracker implementation.
tshizys/nvcaffe-0.16
tshizys/PreciseRoIPooling
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
tshizys/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
tshizys/pytorch-opose-priv
A pytroch version of Realtime Multi-Person Pose Estimation
tshizys/pytorch-priv
Pytorch implementation for Classification, Semantic Segmentation and Object Detection
tshizys/pytorchvideo
A deep learning library for video understanding research.
tshizys/Random-Erasing
Random Erasing Data Augmentation
tshizys/scalabel
Quantify computer vision performance in human terms
tshizys/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
tshizys/SENet
Squeeze-and-Excitation Networks
tshizys/TensorRT
TensorRT is a C++ library that facilitates high performance inference on NVIDIA GPUs and deep learning accelerators.
tshizys/tps_stn_pytorch
PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)
tshizys/vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.