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04/27/2023
Adaptive manifold for imbalanced transductive few-shot learning
Transductive few-shot learning algorithms have showed substantially supe...
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11/21/2022
Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers
Polyp segmentation is a crucial step towards computer-aided diagnosis of...
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06/17/2021
Dynamic Knowledge Distillation with A Single Stream Structure for RGB-DSalient Object Detection
RGB-D salient object detection(SOD) demonstrates its superiority on dete...
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06/09/2021
Tensor feature hallucination for few-shot learning
Few-shot classification addresses the challenge of classifying examples ...
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06/07/2021
Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection
Salient object detection(SOD) aims at locating the most significant obje...
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04/19/2021
Few-shot learning via tensor hallucination
Few-shot classification addresses the challenge of classifying examples ...
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01/11/2021
A novel shape matching descriptor for real-time hand gesture recognition
The current state-of-the-art hand gesture recognition methodologies heav...
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12/14/2020
Iterative label cleaning for transductive and semi-supervised few-shot learning
Few-shot learning amounts to learning representations and acquiring know...
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04/30/2020
Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network
Salient object detection has achieved great improvement by using the Ful...
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12/18/2019
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
Pedestrian detection methods have been significantly improved with the d...
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10/25/2019
Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection
Pedestrian detection methods have been significantly improved with the d...
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08/07/2018
