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07/23/2023
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision
Visual Grounding (VG) aims at localizing target objects from an image ba...
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05/09/2023
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Change detection is an essential and widely utilized task in remote sens...
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02/16/2023
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search
Neural Architecture Search (NAS) has shown great potentials in automatic...
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01/13/2023
Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation
Deep convolutional neural networks (DCNNs) based remote sensing (RS) ima...
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08/17/2022
Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation
Cell instance segmentation is a new and challenging task aiming at joint...
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07/14/2022
A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation
Ovarian cancer is one of the most harmful gynecological diseases. Detect...
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11/29/2021
Attention-based Feature Decomposition-Reconstruction Network for Scene Text Detection
Recently, scene text detection has been a challenging task. Texts with a...
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10/09/2021
A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval
Large-scale fine-grained image retrieval has two main problems. First, l...
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08/26/2021
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
Object detection on drone-captured scenarios is a recent popular task. A...
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08/14/2021
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation
Few-shot semantic segmentation is a challenging task of predicting objec...
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04/01/2021
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification
Remote sensing (RS) image scene classification task faces many challenge...
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03/01/2021
Embedded Knowledge Distillation in Depth-level Dynamic Neural Network
In real applications, different computation-resource devices need differ...
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12/30/2020
MM-FSOD: Meta and metric integrated few-shot object detection
In the object detection task, CNN (Convolutional neural networks) models...
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12/29/2020