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08/23/2023
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
Large-scale well-annotated datasets are of great importance for training...
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04/20/2023
Clustered-patch Element Connection for Few-shot Learning
Weak feature representation problem has influenced the performance of fe...
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12/12/2022
HDNet: A Hierarchically Decoupled Network for Crowd Counting
Recently, density map regression-based methods have dominated in crowd c...
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11/02/2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Few-shot learning problem focuses on recognizing unseen classes given a ...
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11/02/2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning
Few-Shot Learning (FSL) alleviates the data shortage challenge via embed...
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06/15/2022
How to Reduce Change Detection to Semantic Segmentation
Change detection (CD) aims to identify changes that occur in an image pa...
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11/24/2021
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
Few-shot semantic segmentation aims to segment novel-class objects in a ...
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06/18/2021
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation
Boundary-based instance segmentation has drawn much attention since of i...
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04/19/2021
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
Few-shot semantic segmentation aims to segment novel-class objects in a ...
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07/03/2020
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
Facial attributes (e.g., age and attractiveness) estimation performance ...
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07/03/2020
Multi-Label Image Recognition with Multi-Class Attentional Regions
Multi-label image recognition is a practical and challenging task compar...
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07/20/2017
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
Object detection aims at high speed and accuracy simultaneously. However...
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07/20/2017
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition
The difficulty of image recognition has gradually increased from general...
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11/06/2016
Deep Label Distribution Learning with Label Ambiguity
Convolutional Neural Networks (ConvNets) have achieved excellent recogni...
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04/22/2015
Exploit Bounding Box Annotations for Multi-label Object Recognition
Convolutional neural networks (CNNs) have shown great performance as gen...
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04/21/2015
Deep Spatial Pyramid: The Devil is Once Again in the Details
In this paper we show that by carefully making good choices for various ...
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04/19/2015
