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Laneatt ⭐ 418

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

Kmeans Anchor Boxes ⭐ 342

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

Vision Based Prediction ⭐ 278

Deep Learning for Vision-based Prediction

Revisiting_deep_metric_learning_pytorch ⭐ 217

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

Metric Learning Divide And Conquer ⭐ 213

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

Scifact ⭐ 194

Data and models for the SciFact verification task.

Intrinsic Image Popularity ⭐ 189

The pytorch code of the paper "Intrinsic Image Popularity Assessment"

Tiou Metric ⭐ 166

Tightness-aware Evaluation Protocol for Scene Text Detection (CVPR 2019)

Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"

Flink Learning ⭐ 91

Perceptualsimilarity ⭐ 77

Deepspectralclustering ⭐ 77

Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper

Paperswithcode Client ⭐ 66

API Client for paperswithcode.com

Observingstrategy ⭐ 56

A community white paper about LSST observing strategy, with quantifications via the the Metric Analysis Framework.

Saak Transform ⭐ 51

Reinplementation of the paper On Data-Driven Saak Transform

Kernel Metric Learning Reid ⭐ 46

Implementation for paper "Person re-identification using kernel-based metric learning methods"

Funfusean ⭐ 41

Structural Similarity based Anatomical and Functional Brain Imaging Fusion

Edsr Ssim ⭐ 31

Different SSIM metrics in CNN-based super resolution algorithms (e.g., EDSR CVPRW2017, RDN CVPR2018, MSRN ECCV2018).

Proficiency Metric ⭐ 28

Code for the paper "Banach Wasserstein GAN"

Gec Ranking ⭐ 25

Data and code used in the 2015 ACL paper, "Ground Truth for Grammatical Error Correction Metrics"

Disprity ⭐ 21

Measuring disparity with R

Group_loss ⭐ 21

Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)

Powsecurity ⭐ 20

The source code used in the Oakland 2019 paper “Lay Down the Common Metrics: Evaluating Proof-of-Work Consensus Protocols' Security”

Emnlp_17_submission ⭐ 17

The dataset and statistical analysis code released with the submission of EMNLP 2017 paper "Why We Need New Evaluation Metrics for NLG"

Textgenerationevaluationmetrics ⭐ 16

Jointly Measuring Diversity and Quality in Text Generation Models

PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"

Polyloss ⭐ 15

Source code of Universal Weighting Metric Learning for Cross-Modal Matching. The paper is accepted by CVPR2020.

Multi Target Multi Camera Tracking

Pytorch Metrics ⭐ 13

Implementation of Evaluation Metrics for Pytorch

Distance Metric Learning ⭐ 10

Implement the learning algorithm from the paper "Distance metric learning, with application to clustering with side-information [Eric P. Xing]".

Segmentation_of_roots_in_soil_with_unet ⭐ 9

Code for the paper "Segmentation of Roots in Soil with U-Net"

Advancedkitsreloaded ⭐ 9

AdvancedKitsReloaded is a Kit managing plugin for Minecraft servers which runs Bukkit, CraftBukkit, Spigot and Paper (>1.8). With this plugin you can easily create/edit/delete your kits and you can customize it as much as you'd like.

Metascience ⭐ 9

Online service for analyzing research profiles of scientists and conferences

The source code of our ICPR 2016 paper <Contextual Similarity Regularized Metric Learning for Person Re-identification>.

Geodesic Covariance Alignment ⭐ 7

MATLAB code for ECML 2018 paper on "Unified Framework for Domain Adaptation using Metric Learning on Manifolds"

Metric Learning Reid ⭐ 6

Keras Metalearning ⭐ 5

H2metrics ⭐ 5

Tools for Riemannian shape analysis with second order Sobolev metrics.

Gtdlbench ⭐ 5

Benchmarking Deep Learning Frameworks

Sigir2020 ⭐ 5

Source code used for the results reported in the SIGIR2020 paper "Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation"

Anomaly_with_experts ⭐ 5

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