Search Results for author: Aixuan Li

Found 9 papers, 7 papers with code

Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection

1 code implementation6 Jun 2023 Aixuan Li, Yuxin Mao, Jing Zhang, Yuchao Dai

In particular, following the principle of disentangled representation learning, we introduce a mutual information upper bound with a mutual information minimization regularizer to encourage the disentangled representation of each modality for salient object detection.

Object object-detection +3

Towards Deeper Understanding of Camouflaged Object Detection

1 code implementation23 May 2022 Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan

With the above understanding about camouflaged objects, we present the first triple-task learning framework to simultaneously localize, segment, and rank camouflaged objects, indicating the conspicuousness level of camouflage.

Object object-detection +1

Exploring Depth Contribution for Camouflaged Object Detection

no code implementations24 Jun 2021 Mochu Xiang, Jing Zhang, Yunqiu Lv, Aixuan Li, Yiran Zhong, Yuchao Dai

In this paper, we study the depth contribution for camouflaged object detection, where the depth maps are generated with existing monocular depth estimation (MDE) methods.

Generative Adversarial Network Monocular Depth Estimation +5

Generative Transformer for Accurate and Reliable Salient Object Detection

2 code implementations20 Apr 2021 Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes

For the former, we apply transformer to a deterministic model, and explain that the effective structure modeling and global context modeling abilities lead to its superior performance compared with the CNN based frameworks.

Attribute Camouflaged Object Segmentation +8

Uncertainty-aware Joint Salient Object and Camouflaged Object Detection

2 code implementations CVPR 2021 Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai

Visual salient object detection (SOD) aims at finding the salient object(s) that attract human attention, while camouflaged object detection (COD) on the contrary intends to discover the camouflaged object(s) that hidden in the surrounding.

Object object-detection +2

Simultaneously Localize, Segment and Rank the Camouflaged Objects

1 code implementation CVPR 2021 Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan

With the above understanding about camouflaged objects, we present the first ranking based COD network (Rank-Net) to simultaneously localize, segment and rank camouflaged objects.

object-detection Object Detection

Weakly-Supervised Salient Object Detection via Scribble Annotations

1 code implementation CVPR 2020 Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu, Yuchao Dai

In this paper, we propose a weakly-supervised salient object detection model to learn saliency from such annotations.

Edge Detection Object +3

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