CodeSLAM
silviutroscot
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
OPENAGENTSKILL / DIRECTORY
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silviutroscot
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
danini
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is avai…
megvii-research
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://o…
allenai
library supporting NLP and CV research on scientific papers
ayumiymk
iduta
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
maxent-ai
OCR, Archive, Index and Search: Implementation agnostic OCR framework.
bupt-ai-cz
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Z-Zheng
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020 & TPAMI 2023) https://arxiv.org/pdf/201…
FaceOnLive
On-Device ID Card & Passport & Driver License Recognition SDK for Android
huggingface
Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
This repository contains the solutions to all the exercises for the MOOC about SLAM and PATH-PLANNING algorithms given by professor Claus Brenner at Leibniz University.…