Talk by D. Gogoll: Unsupervised Domain Adaptation for Transferring Plant Classification...(IROS'20)

preview_player
Показать описание
D. Gogoll, P. Lottes, J. Weyler, N. Petrinic, and C. Stachniss, “Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots,” in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020.
  1. Cyrill Stachniss
  2. robotics
  3. photogrammetry
Рекомендации по теме
Talk by D. 0:08:50

Talk by D. Gogoll: Unsupervised Domain Adaptation for Transferring Plant Classification...(IROS&apos...

Quick Introduction to 0:28:33

Quick Introduction to AI and the development pipeline

Differential Treatment for 0:01:00

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for...

Unsupervised Domain Adaptation 0:04:57

Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering

Guiding Pseudo-Labels With 0:05:28

Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation

Unsupervised Representation Learning 0:01:01

Unsupervised Representation Learning for Gaze Estimation

Unsupervised domain adaptation 0:53:31

Unsupervised domain adaptation for human activity recognition

Unsupervised Domain Adaptation 0:35:07

Unsupervised Domain Adaptation for Real World Person Re-Identification

Unsupervised Domain Adaptation 0:03:12

Unsupervised Domain Adaptation Under Varying Weather Conditions for Autonomous Vehicles

Reliable Weighted Optimal 0:01:01

Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation

Camera On-Boarding for 0:01:01

Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning

Prototypical Cross-domain Self-supervised 0:05:02

Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation

Maximizing Cosine Similarity 0:04:45

Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semanti

Unsupervised Domain Adaptation 0:05:14

Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities

ICML 2020 Oral 0:14:29

ICML 2020 Oral Talk: Continuously Indexed Domain Adaptation

Scribble-based Domain Adaptation 0:10:38

Scribble-based Domain Adaptation via Co-segmentation

A Systematic Study 0:06:05

A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition

[WACV 2023] ConfMix: 0:04:01

[WACV 2023] ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing

Annaliese Mason - 0:03:19

Annaliese Mason - Making new Crop Species (Trailer)

Domain Adaptation using 0:03:58

Domain Adaptation using Self-Training with Mixup for One-Stage Object Detection

Active Domain Adaptation 0:05:14

Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings

Interspeech 2020: Adversarial 0:09:53

Interspeech 2020: Adversarial Domain Adaptation for SV using Partially Shared Network

[CVPR 2020 Oral] 0:04:56

[CVPR 2020 Oral] Towards Inheritable Models for Open-set Domain Adaptation (5 min talk)

'Representation and Experience-Based 0:13:41

'Representation and Experience-Based Learning of Explainable Models for Robot Action Execution&...

Комментарии
Автор

awesome, started my phd in similar area, will surely contact you.

Maslacak