Search Results for author: Deng-Ping Fan

Found 46 papers, 43 papers with code

BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network

1 code implementation ECCV 2020 Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao

In particular, we 1) propose a bifurcated backbone strategy (BBS) to split the multi-level features into teacher and student features, and 2) utilize a depth-enhanced module (DEM) to excavate informative parts of depth cues from the channel and spatial views.

RGB-D Salient Object Detection Salient Object Detection

Dense Uncertainty Estimation

1 code implementation13 Oct 2021 Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes

Deep neural networks can be roughly divided into deterministic neural networks and stochastic neural networks. The former is usually trained to achieve a mapping from input space to output space via maximum likelihood estimation for the weights, which leads to deterministic predictions during testing.

Decision Making

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

1 code implementation ICCV 2021 Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao

In this paper, we introduce a novel multi-stage cascaded learning framework via mutual information minimization to "explicitly" model the multi-modal information between RGB image and depth data.

Saliency Detection

Specificity-preserving RGB-D Saliency Detection

1 code implementation ICCV 2021 Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao

A cross-enhanced integration module (CIM) is proposed to fuse cross-modal features in the shared learning network, which are then propagated to the next layer for integrating cross-level information.

Saliency Detection

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

1 code implementation16 Aug 2021 Bo Dong, Wenhai Wang, Deng-Ping Fan, Jinpeng Li, Huazhu Fu, Ling Shao

Among these, the CFM is used to collect the semantic and location information of polyps from high-level features, while the CIM is applied to capture polyp information disguised in low-level features.

Medical Image Segmentation

Full-Duplex Strategy for Video Object Segmentation

1 code implementation ICCV 2021 Ge-Peng Ji, Deng-Ping Fan, Keren Fu, Zhe Wu, Jianbing Shen, Ling Shao

Previous video object segmentation approaches mainly focus on using simplex solutions between appearance and motion, limiting feature collaboration efficiency among and across these two cues.

Salient Object Detection Semantic Segmentation +2

ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic Videos

1 code implementation24 Jul 2021 Yi Zhang, Fang-Yi Chao, Ge-Peng Ji, Deng-Ping Fan, Lu Zhang, Ling Shao

With this goal in mind, we propose PV-SOD, a new task that aims to segment salient objects from panoramic videos.

Object Detection Saliency Detection +1

Probabilistic Model Distillation for Semantic Correspondence

1 code implementation CVPR 2021 Xin Li, Deng-Ping Fan, Fan Yang, Ao Luo, Hong Cheng, Zicheng Liu

We address this problem with the use of a novel Probabilistic Model Distillation (PMD) approach which transfers knowledge learned by a probabilistic teacher model on synthetic data to a static student model with the use of unlabeled real image pairs.

Model distillation Representation Learning +1

From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach

1 code implementation CVPR 2021 Guotao Wang, Chenglizhao Chen, Deng-Ping Fan, Aimin Hao, Hong Qin

Thanks to the rapid advances in the deep learning techniques and the wide availability of large-scale training sets, the performances of video saliency detection models have been improving steadily and significantly.

Video Saliency Detection

Progressively Normalized Self-Attention Network for Video Polyp Segmentation

2 code implementations18 May 2021 Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao

Existing video polyp segmentation (VPS) models typically employ convolutional neural networks (CNNs) to extract features.

Salient Objects in Clutter

1 code implementation7 May 2021 Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao

This design bias has led to a saturation in performance for state-of-the-art SOD models when evaluated on existing datasets.

Image Augmentation Object Detection +2

Camouflaged Object Segmentation with Distraction Mining

no code implementations CVPR 2021 Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan

In this paper, we strive to embrace challenges towards effective and efficient COS. To this end, we develop a bio-inspired framework, termed Positioning and Focus Network (PFNet), which mimics the process of predation in nature.

Camouflaged Object Segmentation Semantic Segmentation

Transformer Transforms Salient Object Detection and Camouflaged Object Detection

no code implementations20 Apr 2021 Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes

Extensive experimental results on various SOD and COD tasks illustrate that transformer networks can transform SOD and COD, leading to new benchmarks for each related task.

Camouflaged Object Segmentation Machine Translation +3

Mutual Graph Learning for Camouflaged Object Detection

1 code implementation CVPR 2021 Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan

Automatically detecting/segmenting object(s) that blend in with their surroundings is difficult for current models.

Graph Learning Object Detection

Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

1 code implementation CVPR 2021 Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Linbo Jin, Ben Chen, Haoming Zhou, Minghui Qiu, Ling Shao

We present a new vision-language (VL) pre-training model dubbed Kaleido-BERT, which introduces a novel kaleido strategy for fashion cross-modality representations from transformers.

Image Retrieval

Group Collaborative Learning for Co-Salient Object Detection

1 code implementation CVPR 2021 Qi Fan, Deng-Ping Fan, Huazhu Fu, Chi Keung Tang, Ling Shao, Yu-Wing Tai

We present a novel group collaborative learning framework (GCoNet) capable of detecting co-salient objects in real time (16ms), by simultaneously mining consensus representations at group level based on the two necessary criteria: 1) intra-group compactness to better formulate the consistency among co-salient objects by capturing their inherent shared attributes using our novel group affinity module; 2) inter-group separability to effectively suppress the influence of noisy objects on the output by introducing our new group collaborating module conditioning the inconsistent consensus.

Co-Salient Object Detection Salient Object Detection

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

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

4 code implementations ICCV 2021 Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao

Unlike the recently-proposed Transformer model (e. g., ViT) that is specially designed for image classification, we propose Pyramid Vision Transformer~(PVT), which overcomes the difficulties of porting Transformer to various dense prediction tasks.

Image Classification Instance Segmentation +2

Concealed Object Detection

1 code implementation20 Feb 2021 Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao

We present the first systematic study on concealed object detection (COD), which aims to identify objects that are "perfectly" embedded in their background.

Camouflaged Object Segmentation

Salient Object Detection via Integrity Learning

3 code implementations19 Jan 2021 Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao

2) Based on the DFA features, we introduce the integrity channel enhancement (ICE) component with the goal of enhancing feature channels that highlight the integral salient objects at the macro level, while suppressing the other distracting ones.

Object Detection Salient Object Detection

Boundary-Aware Segmentation Network for Mobile and Web Applications

4 code implementations12 Jan 2021 Xuebin Qin, Deng-Ping Fan, Chenyang Huang, Cyril Diagne, Zichen Zhang, Adrià Cabeza Sant'Anna, Albert Suàrez, Martin Jagersand, Ling Shao

In this paper, we propose a simple yet powerful Boundary-Aware Segmentation Network (BASNet), which comprises a predict-refine architecture and a hybrid loss, for highly accurate image segmentation.

Camouflaged Object Segmentation Semantic Segmentation

Light Field Salient Object Detection: A Review and Benchmark

1 code implementation10 Oct 2020 Keren Fu, Yao Jiang, Ge-Peng Ji, Tao Zhou, Qijun Zhao, Deng-Ping Fan

Secondly, we benchmark nine representative light field SOD models together with several cutting-edge RGB-D SOD models on four widely used light field datasets, from which insightful discussions and analyses, including a comparison between light field SOD and RGB-D SOD models, are achieved.

Object Detection Saliency Detection +1

Uncertainty Inspired RGB-D Saliency Detection

4 code implementations7 Sep 2020 Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Saleh, Sadegh Aliakbarian, Nick Barnes

Our framework includes two main models: 1) a generator model, which maps the input image and latent variable to stochastic saliency prediction, and 2) an inference model, which gradually updates the latent variable by sampling it from the true or approximate posterior distribution.

RGB-D Salient Object Detection RGB Salient Object Detection +1

Siamese Network for RGB-D Salient Object Detection and Beyond

2 code implementations26 Aug 2020 Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao, Jianbing Shen, Ce Zhu

Inspired by the observation that RGB and depth modalities actually present certain commonality in distinguishing salient objects, a novel joint learning and densely cooperative fusion (JL-DCF) architecture is designed to learn from both RGB and depth inputs through a shared network backbone, known as the Siamese architecture.

Ranked #2 on RGB-D Salient Object Detection on SIP (using extra training data)

RGB-D Salient Object Detection Salient Object Detection +1

RGB-D Salient Object Detection: A Survey

9 code implementations1 Aug 2020 Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao

Further, considering that the light field can also provide depth maps, we review SOD models and popular benchmark datasets from this domain as well.

RGB-D Salient Object Detection RGB Salient Object Detection +1

Re-thinking Co-Salient Object Detection

2 code implementations7 Jul 2020 Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen

CoSOD is an emerging and rapidly growing extension of salient object detection (SOD), which aims to detect the co-occurring salient objects in a group of images.

Co-Salient Object Detection Salient Object Detection

Bifurcated backbone strategy for RGB-D salient object detection

2 code implementations6 Jul 2020 Yingjie Zhai, Deng-Ping Fan, Jufeng Yang, Ali Borji, Ling Shao, Junwei Han, Liang Wang

In particular, first, we propose to regroup the multi-level features into teacher and student features using a bifurcated backbone strategy (BBS).

RGB-D Salient Object Detection RGB Salient Object Detection +1

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

3 code implementations13 Jun 2020 Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao

To address these challenges, we propose a parallel reverse attention network (PraNet) for accurate polyp segmentation in colonoscopy images.

Ranked #3 on Camouflaged Object Segmentation on CAMO (using extra training data)

Camouflaged Object Segmentation Camouflage Segmentation +1

Camouflaged Object Detection

2 code implementations CVPR 2020 Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao

We present a comprehensive study on a new task named camouflaged object detection (COD), which aims to identify objects that are "seamlessly" embedded in their surroundings.

Anomaly Detection Camouflaged Object Segmentation

Taking a Deeper Look at Co-Salient Object Detection

1 code implementation CVPR 2020 Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng

Co-salient object detection (CoSOD) is a newly emerging and rapidly growing branch of salient object detection (SOD), which aims to detect the co-occurring salient objects in multiple images.

Co-Salient Object Detection Salient Object Detection

Bilateral Attention Network for RGB-D Salient Object Detection

1 code implementation30 Apr 2020 Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, Deng-Ping Fan

To better explore salient information in both foreground and background regions, this paper proposes a Bilateral Attention Network (BiANet) for the RGB-D SOD task.

RGB-D Salient Object Detection RGB Salient Object Detection +1

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

1 code implementation15 Apr 2020 Yu-Huan Wu, Shang-Hua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rong-Guo Zhang, Ming-Ming Cheng

The chest CT scan test provides a valuable complementary tool to the RT-PCR test, and it can identify the patients in the early-stage with high sensitivity.

Classification COVID-19 Diagnosis +1

Scoot: A Perceptual Metric for Facial Sketches

1 code implementation ICCV 2019 Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji

In this paper, we design a perceptual metric, called Structure Co-Occurrence Texture (Scoot), which simultaneously considers the block-level spatial structure and co-occurrence texture statistics.

Face Sketch Synthesis SSIM

LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer

1 code implementation14 May 2019 Lin-Zhuo Chen, Xuan-Yi Li, Deng-Ping Fan, Kai Wang, Shao-Ping Lu, Ming-Ming Cheng

We design a novel Local Spatial Aware (LSA) layer, which can learn to generate Spatial Distribution Weights (SDWs) hierarchically based on the spatial relationship in local region for spatial independent operations, to establish the relationship between these operations and spatial distribution, thus capturing the local geometric structure sensitively. We further propose the LSANet, which is based on LSA layer, aggregating the spatial information with associated features in each layer of the network better in network design. The experiments show that our LSANet can achieve on par or better performance than the state-of-the-art methods when evaluating on the challenging benchmark datasets.

Enhanced-alignment Measure for Binary Foreground Map Evaluation

2 code implementations26 May 2018 Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji

The existing binary foreground map (FM) measures to address various types of errors in either pixel-wise or structural ways.

Face Sketch Synthesis Style Similarity:A New Structure Co-occurrence Texture Measure

1 code implementation9 Apr 2018 Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Ming-Ming Cheng, Bo Ren, Rongrong Ji, Paul L. Rosin

However, human perception of the similarity of two sketches will consider both structure and texture as essential factors and is not sensitive to slight ("pixel-level") mismatches.

Face Sketch Synthesis

Semantic Edge Detection with Diverse Deep Supervision

2 code implementations9 Apr 2018 Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, JiaWang Bian, DaCheng Tao

Semantic edge detection (SED), which aims at jointly extracting edges as well as their category information, has far-reaching applications in domains such as semantic segmentation, object proposal generation, and object recognition.

Edge Detection Object Proposal Generation +2

Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground

no code implementations ECCV 2018 Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu, Shang-Hua Gao, Qibin Hou, Ali Borji

Our analysis identifies a serious design bias of existing SOD datasets which assumes that each image contains at least one clearly outstanding salient object in low clutter.

RGB Salient Object Detection Salient Object Detection

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