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08/23/2023
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation
Studies on semi-supervised medical image segmentation (SSMIS) have seen ...
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08/13/2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Semi-supervised learning is attracting blooming attention, due to its su...
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08/04/2023
DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field
Estimating 6D poses and reconstructing 3D shapes of objects in open-worl...
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03/30/2023
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models
Prompt learning has become one of the most efficient paradigms for adapt...
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03/02/2023
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
Semi-supervised semantic segmentation has recently gained increasing res...
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12/09/2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Recent studies on semi-supervised semantic segmentation (SSS) have seen ...
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11/21/2022
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
Recently, semi-supervised semantic segmentation has achieved promising p...
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11/21/2022
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
Vision transformers have achieved significant improvements on various vi...
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02/22/2022
The Winning Solution to the iFLYTEK Challenge 2021 Cultivated Land Extraction from High-Resolution Remote Sensing Image
Extracting cultivated land accurately from high-resolution remote images...
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11/14/2020
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection
Recently the problem of cross-domain object detection has started drawin...
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07/13/2020
Active Crowd Counting with Limited Supervision
To learn a reliable people counter from crowd images, head center annota...
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06/08/2020
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data
Deep learning models are difficult to obtain good performance when data ...
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05/18/2020
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification
Deep learning models often require much annotated data to obtain good pe...
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03/29/2020
Mutual Learning Network for Multi-Source Domain Adaptation
Early Unsupervised Domain Adaptation (UDA) methods have mostly assumed t...
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03/29/2020
Adaptive Object Detection with Dual Multi-Label Prediction
In this paper, we propose a novel end-to-end unsupervised deep domain ad...
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04/15/2019
Fast Inference in Capsule Networks Using Accumulated Routing Coefficients
We present a method for fast inference in Capsule Networks (CapsNets) by...
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03/22/2019
Capsule Networks with Max-Min Normalization
Capsule Networks (CapsNet) use the Softmax function to convert the logit...
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08/10/2018
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)
Computed tomography (CT) is a popular medical imaging modality for scree...
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05/02/2018
