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l_dmi icon l_dmi

Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"

lip icon lip

Code for LIP: Local Importance-based Pooling

liteflownet icon liteflownet

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR18 (Spotlight)

long-tailed-recognition.pytorch icon long-tailed-recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

loupe icon loupe

Tensorflow toolbox implementing several learnable pooling architecture

lstm-human-activity-recognition icon lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) - Guillaume Chevalier

lucky_code icon lucky_code

The code for face recognition, attribute classification and so on

mace icon mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

mar icon mar

Pytorch code for our CVPR'19 work: MAR (MultilAbel Reference learning)

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskedface-net icon maskedface-net

MaskedFace-Net is dataset of human faces with a correctly and incorrectly wear mask based on the dataset Flickr-Faces-HQ (FFHQ).

masktextspotter.caffe2 icon masktextspotter.caffe2

The code of "Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes"

massface icon massface

MassFace: an effecient implementation using triplet loss for face recognition

mcf icon mcf

C++/Python library for multiple object tracking via min-cost flow algorithms

meal-v2 icon meal-v2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

mean-teacher icon mean-teacher

A state-of-the-art semi-supervised method for image recognition

mediapipe icon mediapipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

mega.pytorch icon mega.pytorch

Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

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