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08/18/2023
Diverse Cotraining Makes Strong Semi-Supervised Segmentor
Deep co-training has been introduced to semi-supervised segmentation and...
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03/15/2023
BiFormer: Vision Transformer with Bi-Level Routing Attention
As the core building block of vision transformers, attention is a powerf...
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11/28/2022
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network
We introduce a lightweight network to improve descriptors of keypoints w...
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09/04/2022
Consistent Teacher Provides Better Supervision in Semi-supervised Object Detection
In this study, we dive deep into the unique challenges in semi-supervise...
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06/02/2022
What Are Expected Queries in End-to-End Object Detection?
End-to-end object detection is rapidly progressed after the emergence of...
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09/08/2021
Temporal RoI Align for Video Object Recognition
Video object detection is challenging in the presence of appearance dete...
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05/21/2021
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection
The performance of object detection, to a great extent, depends on the a...
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09/02/2020
Understanding the wiring evolution in differentiable neural architecture search
Controversy exists on whether differentiable neural architecture search ...
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05/06/2020
Scale-Equalizing Pyramid Convolution for Object Detection
Feature pyramid has been an efficient method to extract features at diff...
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04/24/2020
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning
Channel pruning is one of the most important techniques for compressing ...
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04/21/2020
AdaX: Adaptive Gradient Descent with Exponential Long Term Memory
Although adaptive optimization algorithms such as Adam show fast converg...
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01/30/2020
How Does BN Increase Collapsed Neural Network Filters?
Improving sparsity of deep neural networks (DNNs) is essential for netwo...
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09/04/2018
Understanding Regularization in Batch Normalization
Batch Normalization (BN) makes output of hidden neuron had zero mean and...
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02/09/2018