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03/29/2023
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations
Existing instance segmentation models learn task-specific information us...
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11/10/2022
Open-Set Automatic Target Recognition
Automatic Target Recognition (ATR) is a category of computer vision algo...
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04/11/2022
Towards Online Domain Adaptive Object Detection
Existing object detection models assume both the training and test data ...
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03/29/2022
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection
Unsupervised Domain Adaptation (UDA) is an effective approach to tackle ...
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03/29/2022
Target and Task specific Source-Free Domain Adaptive Image Segmentation
Solving the domain shift problem during inference is essential in medica...
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03/10/2022
On-the-Fly Test-time Adaptation for Medical Image Segmentation
One major problem in deep learning-based solutions for medical imaging i...
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12/10/2021
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery
Representation learning of the task-oriented attention while tracking in...
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10/07/2021
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning
Object detectors trained on large-scale RGB datasets are being extensive...
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07/19/2021
Image Fusion Transformer
In image fusion, images obtained from different sensors are fused to gen...
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05/27/2021
Unsupervised Domain Adaption of Object Detectors: A Survey
Recent advances in deep learning have led to the development of accurate...
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04/02/2021
Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet
In this work, we develop an attention convolutional neural network (CNN)...
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03/07/2021
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
Existing approaches for unsupervised domain adaptive object detection pe...
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03/10/2020