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deepmask

A Keras implementation of DeepMask based on NIPS 2015 paper "Learning to Segment Object Candidates"

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

dpp

Detail-Preserving Pooling in Deep Networks (CVPR 2018)

dsac

dsrl

Implementation of CVPR 2020 Dual Super-Resolution Learning for Semantic Segmentation

dvae-refiner

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

entropy-mdlp

Minimum description length principle algorithm in Python, for optimal binning of continuous variables

eth-thesis

Master thesis project at ETH Zurich

evaluation-metrics

comonly used metrics for results evaluation in semantic segmentation

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

facial-landmark-detection-hrnet

A TensorFlow implementation of HRNet for facial landmark detection.

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

fdcnn

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

gcn-tf2.0

this project implements graph convolutional networks with tensorflow 2.0

gcnet-tensorflow

Simple Tensorflow implementation of "GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond"

gcvit-tf

Tensorflow 2.0 Implementation of GCViT: Global Context Vision Transformer

gdal

grounded-segment-anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP - Automatically Detect , Segment and Generate Anything with Image and Text Inputs

gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

higherhrnet-human-pose-estimation

This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)

hisup

hrformer

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

hrnet-keras-semantic-segmentation

keras-HRNet

hrnet-maskrcnn-benchmark

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

hrnetv2_keras_tensorflow_semisupervised

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.