Code and data from NAVER LABS Europe

Code and data

Data, code and models released by NAVER LABS Europe.

Title Description Year Code/data Related papers/Blogs
StacMR Scene-Text Aware Cross-Modal Retrieval 2021 Github Explore data, CTC /
WACV ’21
COVID-19 NMT Multi-lingual & multi-domain (specialisation for biomedical data) translation model. 2020 GitHub Blog
DCMM Differentiable Cross Modal Model (the code implementing the model introduced in Learning to Rank Images with Cross-Modal Graph Convolutions, ECIR'20). 2020 GitHub ECIR 2020 /
Blog (coming)
DOPE Distillation of Part Experts for whole-body 3D pose estimation in the wild. 2020 Github ECCV 2020/
FORCE Progressive Skeletonization: Trimming more fat from a network at initialization. 2020 GitHub arXiv/
Kapture Kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data. 2020 GitHub arXiv/
Kapture localization A toolbox with various localization related algorithms (mapping, localization, benchmarking IR for VL). Relies strongly on the kapture format for data representation and manipulation. 2020 GitHub 3DV 2020
LCR-Net release V2.0 Improved pose proposals integration for Multi-person 2D and 3D pose detection in natural images. 2020 GitHub CVPR 2017/
TPAMI 2019
LispE: Lisp Elémentaire Ultra-minimal version of Lisp. Implementation of fully fledged Lisp interpreter with Data Structure, Pattern Programming and High level Functions with Lazy Evaluation à la Haskell. Comes with editor from TAMGU. 2020 Github Code
MOCHI Mixing of Contrastive Hard negatives (MOCHI), data mixing strategies that can be computed on-the-fly with minimal computational overhead, highly transferable visual representations. 2020 Download models NeurIPS2020
SMPLy SMPLy benchmarking 3D human pose estimation in the wild. 2020 Dataset and code Annotations
Virtual KITTI 2 Updated photo-realistic synthetic video dataset designed to learn and evaluate computer vision models for several video understanding tasks: object detection and multi-object tracking, scene-level and instance-level semantic segmentation, optical flow, and depth estimation. 2020 Download dataset arXiv/
Domain Shift Prediction A method to predict the drop in accuracy of a trained model. 2019 GitHub EMNLP2019/
MIMETICS Understanding human action recognition. 2019 Dataset arXiv/
Mallscape dataset Dataset addresses all possible POI change scenarios to automatically update complex indoor maps. 2019 Download Mallscape A/
Download Mallscape B
Evaluation code download here
CVPR 2019/
Motion-Augmented RGB Stream for Action Recognition The test code and models are released under the MIT license. Both the code and models are on github. 2019 Code CVPR 2019/
R2D2 Reliable and Repeatable Detector and Descriptor. 2019 Github (Code and data) NeurIPs 2019/
Tamgu A Functional, Imperative and Logical programming language for data annotation and augmentation. 2019 Github Blog
Virtual Gallery Dataset Synthetic dataset targeting challenges such as varying lighting conditions and different occlusion levels for tasks such as depth estimation, instance segmentation and visual localization. 2019 Dataset CVPR 2019
Aspect based sentiment analysis dataset Manually annotated new ABSA dataset (different from Semeval2016) from Foursquare comments. 2018 Download dataset WASSA 2018
ReviewQA A question-answering dataset based on hotel reviews. 2018 GitHub blog
Deep Image Retrieval End-to-end learning of deep visual representations for image retrieval. 2017 Models and scripts of papers ICCV 2019/
IJCV 2017/
Procedural Human Action Videos dataset A diverse, realistic, and physically plausible dataset of human action videos containing 39,982 videos, with more than 1,000 examples for each action of 35 categories. 2017 Dataset download CVPR 2017