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Found 10 papers, 3 papers with code
AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation
In this paper, we propose the Attention-Based Varifocal Generative Adversarial Network (AV-GAN), which solves multiple problems in pathologic image translation tasks, such as uneven translation difficulty in different regions, mutual interference of multiple resolution information, and nuclear deformation.
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
Directly fine-tuning VLMs for RS-FGSC often encounters the challenge of overfitting the seen classes, resulting in suboptimal generalization to unseen classes, which highlights the difficulty in differentiating complex backgrounds and capturing distinct ship features.
XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation
Despite the promising performance of existing visual models on public benchmarks, the critical assessment of their robustness for real-world applications remains an ongoing challenge.
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
To address this issue, we propose Semantic-assisted Object Cluster (SOC), which aggregates video content and textual guidance for unified temporal modeling and cross-modal alignment.
Ranked #2 on
Referring Expression Segmentation
on A2D Sentences
(using extra training data)
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation
We further propose a consistency learning based mean teacher model to effectively adapt the learned UDA model using labeled and unlabeled target samples.
Semi-supervised Domain Adaptation
Unsupervised Domain Adaptation
SSGD: A smartphone screen glass dataset for defect detection
Interactive devices with touch screen have become commonly used in various aspects of daily life, which raises the demand for high production quality of touch screen glass.
SemanticAC: Semantics-Assisted Framework for Audio Classification
In this paper, we propose SemanticAC, a semantics-assisted framework for Audio Classification to better leverage the semantic information.
Adversarial Alignment for Source Free Object Detection
Source-free object detection (SFOD) aims to transfer a detector pre-trained on a label-rich source domain to an unlabeled target domain without seeing source data.
Self-Supervised Video Hashing via Bidirectional Transformers
Most existing unsupervised video hashing methods are built on unidirectional models with less reliable training objectives, which underuse the correlations among frames and the similarity structure between videos.
Neighborhood Preserving Hashing for Scalable Video Retrieval
We then integrate the neighborhood attention mechanism into an RNN-based reconstruction scheme to encourage the binary codes to capture the spatial-temporal structure in a video which is consistent with that in the neighborhood.
