TUdatalib : Visuelle Inferenz

Wegen Wartungsarbeiten am Speichersystem wird TUdatalib am Montag, 14.4.2025, ab 10:30 bis voraussichtlich 12:00 nur eingeschränkt zur Verfügung stehen. Das Hoch- unter Herunterladen von Datein ist in diesem Zeitraum nicht möglich. / Due to scheduled maintenance on the storage system, TUdatalib service will be limited on Monday, April 14, from 10:30 am to approx. noon. Uploading and downloading files will not be possible during this time period.

Auflistung nach

Titeln Autoren Typ Zugangsdatum Schlagworten DFG-Fächer

Sammlungen in diesem Bereich

Neueste Zugänge

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model

Endres, Jannik; Hahn, Oliver; Corbière, Charles; Schaub-Meyer, Simone; Roth, Stefan; Alahi, Alexandre (2025-03)
Benchmarking the Attribution Quality of Vision Models

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2024-12)
Scene-Centric Unsupervised Panoptic Segmentation

Hahn, Oliver; Reich, Christoph; Araslanov, Nikita; Cremers, Daniel; Rupprecht, Christian; Roth, Stefan (2025-06-11)
Semantic Self-adaptation: Enhancing Generalization with a Single Sample

Bahmani, Sherwin; Hahn, Oliver; Zamfir, Eduard; Araslanov, Nikita; Cremers, Daniel; Roth, Stefan (2023-07)
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals

Hahn, Oliver; Araslanov, Nikita; Schaub-Meyer, Simone; Roth, Stefan (2024-09)
Content-Adaptive Downsampling in Convolutional Neural Networks

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2023-06)
Dense Unsupervised Learning for Video Segmentation

Araslanov, Nikita; Schaub-Meyer, Simone; Roth, Stefan (2021-12)
Fast Axiomatic Attribution for Neural Networks

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2021-12)
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

Araslanov, Nikita; Roth, Stefan (2021-06)
Single-stage Semantic Segmentation from Image Labels

Araslanov, Nikita; Roth, Stefan (2020-06)
Actor-critic Instance Segmentation

Araslanov, Nikita; Rothkopf, Constantin; Roth, Stefan (2019-06)

Visuelle Inferenz

Auflistung nach

Sammlungen in diesem Bereich

Explainable AI [2]

Generative Modeling [0]

Segmentation [9]

Video and Motion [0]

Neueste Zugänge

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model

Benchmarking the Attribution Quality of Vision Models

Scene-Centric Unsupervised Panoptic Segmentation

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals

Content-Adaptive Downsampling in Convolutional Neural Networks

Dense Unsupervised Learning for Video Segmentation

Fast Axiomatic Attribution for Neural Networks

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

Single-stage Semantic Segmentation from Image Labels

Actor-critic Instance Segmentation

Visuelle Inferenz

Auflistung nach

Sammlungen in diesem Bereich

Explainable AI [2]

Generative Modeling [0]

Segmentation [9]

Video and Motion [0]

Neueste Zugänge

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model ﻿

Benchmarking the Attribution Quality of Vision Models ﻿

Scene-Centric Unsupervised Panoptic Segmentation ﻿

Semantic Self-adaptation: Enhancing Generalization with a Single Sample ﻿

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals ﻿

Content-Adaptive Downsampling in Convolutional Neural Networks ﻿

Dense Unsupervised Learning for Video Segmentation ﻿

Fast Axiomatic Attribution for Neural Networks ﻿

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation ﻿

Single-stage Semantic Segmentation from Image Labels ﻿

Actor-critic Instance Segmentation ﻿

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model

Benchmarking the Attribution Quality of Vision Models

Scene-Centric Unsupervised Panoptic Segmentation

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals

Content-Adaptive Downsampling in Convolutional Neural Networks

Dense Unsupervised Learning for Video Segmentation

Fast Axiomatic Attribution for Neural Networks

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

Single-stage Semantic Segmentation from Image Labels

Actor-critic Instance Segmentation