LinHanhe

LinHanhe's Stars

• LJOVO/TranSalNet

  TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing (2022)

  Language:Python569

• lukasruff/Deep-SVDD-PyTorch

  A PyTorch implementation of the Deep SVDD anomaly detection method

  Language:Python713201

• steffensbola/blind_iqa_contrast

  This repo compiles various blind image quality acessment methods focused on contrast evaluation. Only code that works in Python or Octave.

  Language:MATLAB3612

• MIRACLE-Center/CXIQ

  Code and Dataset for 'Perceptual Quality Assessment of ChestRadiograph'

  51

• Li-Chongyi/Water-Net_Code

  Code repository for our paper Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, Dacheng Tao , "An Underwater Image Enhancement Benchmark Dataset and Beyond" IEEE TIP 2019.

  Language:Python21956

• facebookresearch/detectron2

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

  Language:Python30.9k7.5k

• chongweiliu/DUO

  413

• hblasins/uwSim

  Underwater Image Systems Simulation

  Language:Matlab167

• wangyanckxx/Single-Underwater-Image-Enhancement-and-Color-Restoration

  Single Underwater Image Enhancement and Color Restoration, which is Python implementation for a comprehensive review paper "An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging"

  Language:Python688153

• diviz-mit/multiduration-saliency

  Language:Jupyter Notebook133

• jeonsworld/ViT-pytorch

  Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

  Language:Jupyter Notebook2k377

• Beckschen/TransUNet

  This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

  Language:Python2.5k514

• harpalsahota/bbaug

  Bounding box augmentations for Pytorch

  Language:Jupyter Notebook1226

• divelab/dtn

  Language:Python5819

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python30k9.5k

• adambielski/siamese-triplet

  Siamese and triplet networks with online pair/triplet mining in PyTorch

  Language:Python3.1k636

• vandit15/Class-balanced-loss-pytorch

  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

  Language:Python788120

• richardaecn/class-balanced-loss

  Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

  Language:Python60568

• alfonmedela/triplet-loss-pytorch

  Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

  Language:Python11518

• chenyuntc/simple-faster-rcnn-pytorch

  A simplified implemention of Faster R-CNN that replicate performance from origin paper

  Language:Jupyter Notebook4k1.1k

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9.1k1.8k

• google-research/fast-soft-sort

  Fast Differentiable Sorting and Ranking

  Language:Python57648

• martius-lab/blackbox-backprop

  Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

  Language:Python34140

• ieee8023/covid-chestxray-dataset

  We are building an open database of COVID-19 cases with chest X-ray or CT images.

  Language:Jupyter Notebook3k1.3k

• PrincetonVision/TurkerGaze

  a webcam-based eye tracking game for collecting large-scale eye tracking data via crowdourcing

  Language:JavaScript10033

• autonomio/talos

  Hyperparameter Experiments with TensorFlow and Keras

  Language:Python1.6k268

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• abewley/sort

  Simple, online, and realtime tracking of multiple objects in a video sequence.

  Language:Python4k1.1k

• huanglianghua/mot-papers

  A collection of Multiple Object Tracking (MOT) papers in recent years, with notes.

  19547

• DeepLabCut/DeepLabCut

  Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

  Language:Python4.8k1.7k