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detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dl-demos

Demos for deep learning

dmcnet

Duality-Gated Mutual Condition Network for RGBT Tracking

external-attention-pytorch

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

farewell-to-mutual-information-variational-distiilation-for-cross-modal-person-re-identification

fashionai-keypointsdetectionofapparel

FashionAI Key Points Detection using CPN model in Pytorch

few-shot-object-detection-dataset

flow-guided-feature-aggregation

Flow-Guided Feature Aggregation for Video Object Detection

fpt

Implementation for paper Feature Pyramid Transformer

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

generatedtir_tracking

Synthetic data generation for end-to-end TIR tracking (TIP2018)

global-second-order-pooling-convolutional-networks

Global Second-order Pooling Convolutional Networks (cvpr2019 GSoP)

globaltrack

Official PyTorch implementation of "GlobalTrack: A Simple and Strong Baseline for Long-term Tracking" @ AAAI2020.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph_2d_cnn

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks'

graph_matching

Finds maximum matchings in undirected graphs.

hoim-pytorch

Hierarchical Online Instance Matching for Person Search (AAAI'20)

idf

Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark

keypoints

A pytorch implementation of Google's paper <Towards Accurate Multi-person Pose Estimation in the Wild>

kg_instance_segmentation

Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes

lightcnn

A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

manet

Multi-Adapter RGBT Tracking implementation on Pytorch

manet_pp

RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss

mask_r_cnn_keypoints

The original code is from "https://github.com/matterport/Mask_RCNN"

matnet

Motion-Attentive Transition for Zero-Shot Video Object Segmentation (AAAI2020)

megengine

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的数值计算框架

mlnt

Meta-Learning based Noise-Tolerant Training