5 accepted papers
Few-shot object detection (FSOD), aiming to enhance the performance of novel object detection with limited labeled samples, has recently gained significant attention. Recent researches primarily focus on improving the generalization of novel classes and enhancing detector performance. However, the d…
Sidescan sonar technology plays an important role in seabed topography detection and mapping, but the performance of mainstream matched filter technology in long-distance image and towing speed limits its application scenarios. In addition, due to the slow propagation speed of sound waves in water,…
In the domain of language-based fashion image retrieval, pinpointing the desired fashion item using both a reference image and its accompanying textual description is an intriguing challenge. Existing approaches lean heavily on static fusion techniques, intertwining image and text. Despite their com…
Task-oriented matching is one of the core aspects of few-shot Action Recognition. Most previous works leverage the metric features within the support and query sets of individual tasks, without considering the metric information across different matching tasks. This oversight represents a significan…
Salient object location and segmentation are two different tasks in salient object detection (SOD). The former aims to globally find the most attractive objects in an image, whereas the latter can be achieved only using local regions that contain salient objects. However, previous methods mainly acc…