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12/30/2022
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments
In robotics and computer vision communities, extensive studies have been...
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07/20/2022
Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding Box
Most existing domain adaptive object detection methods exploit adversari...
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06/28/2022
Personalized Keyword Spotting through Multi-task Learning
Keyword spotting (KWS) plays an essential role in enabling speech-based ...
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06/28/2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting
Keyword spotting is the task of detecting a keyword in streaming audio. ...
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05/18/2022
Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching
Recent end-to-end multi-object detectors simplify the inference pipeline...
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10/21/2021
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation
"Self-training" has become a dominant method for semantic segmentation v...
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02/25/2021
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation
We propose a novel method that tackles the problem of unsupervised domai...
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02/05/2020
Feature-map-level Online Adversarial Knowledge Distillation
Feature maps contain rich information about image intensity and spatial ...
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04/19/2019
