jy9387

jy9387's Stars

• kakaobrain/fast-autoaugment

  Official Implementation of 'Fast AutoAugment' in PyTorch.

  Language:Python1.6k194

• DirtyHarryLYL/HOI-Learning-List

  A list of Human-Object Interaction Learning.

  60056

• DirtyHarryLYL/Transferable-Interactiveness-Network

  Code for Transferable Interactiveness Knowledge for Human-Object Interaction Detection. (CVPR'19, TPAMI'21)

  Language:Python22941

• VDIGPKU/DADA

  [ECCV 2020] DADA: Differentiable Automatic Data Augmentation

  Language:Python19030

• hou-yz/MVDet

  [ECCV 2020] Codes and MultiviewX dataset for "Multiview Detection with Feature Perspective Transformation".

  Language:Python17330

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C21.9k8k

• Tianxiaomo/pytorch-YOLOv4

  PyTorch ,ONNX and TensorRT implementation of YOLOv4

  Language:Python4.5k1.5k

• TejasNaikk/DriverDrowsiness_Detection

  This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

  Language:Python189

• AnirudhGP/DrowsyDriverDetection

  Drowsy driver detection using Keras and convolution neural networks.

  Language:Python10952

• luisarojas/distracted-driver-detection

  Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.

  Language:Jupyter Notebook4120

• MarvinBertin/Kaggle_State_Farm

  VGG & Resnet Neural Networks for Kaggle's State Farm Distracted Driver Detection contest (Tensorflow)

  Language:Jupyter Notebook1210

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4.2k634

• ciampluca/Virtual-to-Real-Pedestrian-Detection

  Code and Resources for our paper "Virtual to Real adaptation of Pedestrian Detectors" - https://www.mdpi.com/1424-8220/20/18/5250

  Language:Python123

• okankop/Efficient-3DCNNs

  PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

  Language:Python787153

• MhLiao/SynthText3D

  Project page of SynthText3D

  Language:C++14523

• s-gupta/v-coco

  Hooks for VCOCO

  Language:Jupyter Notebook15136

• cvat-ai/cvat

  Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

  Language:Python13k3.1k

• CMU-Perceptual-Computing-Lab/openpose

  OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

  Language:C++31.7k7.9k

• MVIG-SJTU/AlphaPose

  Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

  Language:Python8.1k2k

• eg4000/SKU110K_CVPR19

  Language:Python783182

• qfgaohao/pytorch-ssd

  MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

  Language:Python1.4k535

• lufficc/SSD

  High quality, fast, modular reference implementation of SSD in PyTorch

  Language:Python1.5k384

• jonperdomo/openmht

  Python module for multiple hypothesis tracking.

  Language:Python6620

• l3p-cv/lost

  Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.

  Language:JavaScript55677

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k

• bingykang/Fewshot_Detection

  Few-shot Object Detection via Feature Reweighting

  Language:Python540112

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.7k3.5k

• bojone/bert4keras

  keras implement of transformers for humans

  Language:Python5.4k927

• microsoft/MASS

  MASS: Masked Sequence to Sequence Pre-training for Language Generation

  Language:Python1.1k206

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.6k2.6k