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07/23/2023
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer
Deep learning (DL) has advanced the field of dense prediction, while gra...
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03/20/2023
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
Accurate medical image segmentation is critical for early medical diagno...
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03/18/2023
Adaptive Multi-source Predictor for Zero-shot Video Object Segmentation
Both static and moving objects usually exist in real-life videos. Most v...
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10/03/2022
Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement
Prototype learning and decoder construction are the keys for few-shot se...
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03/09/2022
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction
Benefiting from color independence, illumination invariance and location...
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12/04/2021
TransCMD: Cross-Modal Decoder Equipped with Transformer for RGB-D Salient Object Detection
Most of the existing RGB-D salient object detection methods utilize the ...
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08/11/2021
Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
Location and appearance are the key cues for video object segmentation. ...
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01/29/2021
Self-Supervised Representation Learning for RGB-D Salient Object Detection
Existing CNNs-Based RGB-D Salient Object Detection (SOD) networks are al...
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07/17/2020
Multi-scale Interactive Network for Salient Object Detection
Deep-learning based salient object detection methods achieve great progr...
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07/16/2020
Suppress and Balance: A Simple Gated Network for Salient Object Detection
Most salient object detection approaches use U-Net or feature pyramid ne...
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07/14/2020
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
Existing RGB-D salient object detection (SOD) approaches concentrate on ...
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07/13/2020