Recently, transformer-based solutions have exhibited remarkable success in 3D human pose estimation (3D-HPE) by computing pairwise relations between joints. However, we observed that the conventional self-attention mechanism in 3D-HPE tends to ...

The semantic matching problem consists of recognizing if the candidate text is relevant to a particular input text. Semantic similarities can be determined from human-curated knowledge, but such knowledge may not be available in every language. Instead, ...

• Dynamic scene graph is adaptive to different questions.
• Word-level co-attention mechanism to refine node features and edge features.
• Dynamic scene graph is beneficial to the logistic reasoning.
• The proposed method ...

In visual question answering task, it is vital to learn the semantic interactions between the question and target objects in the input image. Existing scene graph-based methods generally extract global features from the image and then perform ...

In the field of computer vision, fine-grained image retrieval is an extremely challenging task due to the inherently subtle intra-class object variations. In addition, the high-dimensional real-valued features extracted from large-scale fine-grained image ...

For the anomaly detection task of video sequences, CNN-based methods have been able to learn to describe the normal situation without abnormal samples at training time by reconstructing the input frame or predicting the future frame, and then use ...

In the era of emotional consumption, it has become a hot topic that commodities meet consumers’ emotional needs. As a necessity of life, the car also needs to meet the needs of consumers. To achieve that consumers can purchase cars according to their ...

Arising from cluttered background interference and various scaled objects, salient object detection (SOD) in optical remote sensing images (RSIs) is a challenging task. In the latest research, supervision-based methods have made significant ...

Detecting and striking the critical part of blurred balloon image is an important approach to counterattack the reconnaissance balloons. The existing algorithms of the image target detection task are not able to achieve the high precision and real-...$$