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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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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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10/01/2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) faces challenges of memorizi...
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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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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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08/14/2021
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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06/01/2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation
Encouraging progress in few-shot semantic segmentation has been made by ...
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04/06/2021
