Search Results for author: Yunqiu Lv

Found 8 papers, 5 papers with code

Contrastive Conditional Latent Diffusion for Audio-visual Segmentation

no code implementations31 Jul 2023 Yuxin Mao, Jing Zhang, Mochu Xiang, Yunqiu Lv, Yiran Zhong, Yuchao Dai

We propose a latent diffusion model with contrastive learning for audio-visual segmentation (AVS) to extensively explore the contribution of audio.

Contrastive Learning Denoising +2

Weakly-supervised Contrastive Learning for Unsupervised Object Discovery

1 code implementation7 Jul 2023 Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai

Unsupervised object discovery (UOD) refers to the task of discriminating the whole region of objects from the background within a scene without relying on labeled datasets, which benefits the task of bounding-box-level localization and pixel-level segmentation.

Contrastive Learning Image Reconstruction +4

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

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