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03/21/2023
The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector
Deep learning-based edge detectors heavily rely on pixel-wise labels whi...
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07/29/2022
Uncertainty-Driven Action Quality Assessment
Automatic action quality assessment (AQA) has attracted more interests d...
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04/16/2022
BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling
This paper describes the BLCU-ICALL system used in the SemEval-2022 Task...
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03/16/2022
EDTER: Edge Detection with Transformer
Convolutional neural networks have made significant progresses in edge d...
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08/02/2021
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth
As a fundamental building block in computer vision, edges can be categor...
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03/26/2021
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation
This paper addresses semi-supervised semantic segmentation by exploiting...
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03/25/2021
Transform consistency for learning with noisy labels
It is crucial to distinguish mislabeled samples for dealing with noisy l...
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01/29/2021
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning
Most existing Grammatical Error Correction (GEC) methods based on sequen...
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11/21/2019
Classification-driven Single Image Dehazing
Most existing dehazing algorithms often use hand-crafted features or Con...
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02/26/2019
Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image
The goal of our work is to discover dominant objects without using any a...
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02/26/2019
Unsupervised Part Mining for Fine-grained Image Classification
Fine-grained image classification remains challenging due to the large i...
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10/12/2018
Does Haze Removal Help CNN-based Image Classification?
Hazy images are common in real scenarios and many dehazing methods have ...
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10/12/2018
Effects of Image Degradations to CNN-based Image Classification
Just like many other topics in computer vision, image classification has...
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01/30/2018
