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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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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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08/21/2022
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
In this work, we revisit the weak-to-strong consistency framework, popul...
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03/21/2022
ViM: Out-Of-Distribution with Virtual-logit Matching
Most of the existing Out-Of-Distribution (OOD) detection algorithms depe...
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08/26/2021
Semantically Coherent Out-of-Distribution Detection
Current out-of-distribution (OOD) detection benchmarks are commonly buil...
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08/13/2021
Progressive Representative Labeling for Deep Semi-Supervised Learning
Deep semi-supervised learning (SSL) has experienced significant attentio...
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10/12/2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph
Webly supervised learning becomes attractive recently for its efficiency...
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08/27/2020
Webly Supervised Image Classification with Self-Contained Confidence
This paper focuses on webly supervised learning (WSL), where datasets ar...
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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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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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09/20/2019
Gradual Network for Single Image De-raining
Most advances in single image de-raining meet a key challenge, which is ...
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01/02/2019
Learning Efficient Detector with Semi-supervised Adaptive Distillation
Knowledge Distillation (KD) has been used in image classification for mo...
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08/15/2018
Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos
Video Analytics Software as a Service (VA SaaS) has been rapidly growing...
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08/13/2018
