3 accepted papers
"Wildlife ReID involves utilizing visual technology to identify specific individuals of wild animals in different scenarios, holding significant importance for wildlife conservation, ecological research, and environmental monitoring. Existing wildlife ReID methods are predominantly tailored to speci…
"Federated learning presents massive potential for privacy-friendly vision task collaboration. However, the federated visual performance is deeply affected by backdoor attacks, where malicious clients optimize on triggered samples to mislead the global model into targeted mispredictions. Existing ba…
"Multi-label Intention Understanding (MIU) for images is a critical yet challenging domain, primarily due to the ambiguity of intentions leading to a resource-intensive annotation process. Current leading approaches are held back by the limited amount of labeled data. To mitigate the scarcity of ann…