8 papers
APGNet: Adaptive Prior-Guided for Underwater Camouflaged Object Detection
Xinxin Huang, Han Sun, Junmin Cai +2
Detecting camouflaged objects in underwater environments is crucial for marine ecological research and resource exploration. However, existing methods face two key challenges: unde…
SLENet: A Guidance-Enhanced Network for Underwater Camouflaged Object Detection
Xinxin Huang, Han Sun, Ningzhong Liu +2
Underwater Camouflaged Object Detection (UCOD) aims to identify objects that blend seamlessly into underwater environments. This task is critically important to marine ecology. How…
SliceSemOcc: Vertical Slice Based Multimodal 3D Semantic Occupancy Representation
Han Huang, Han Sun, Ningzhong Liu +2
Driven by autonomous driving's demands for precise 3D perception, 3D semantic occupancy prediction has become a pivotal research topic. Unlike bird's-eye-view (BEV) methods, which…
DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample
Wenting Yin, Han Sun, Xinru Meng +2
Continual test-time adaptation aims to continuously adapt a pre-trained model to a stream of target domain data without accessing source data. Without access to source domain data,…
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Xinru Meng, Han Sun, Jiamei Liu +2
Source-free domain adaptation (SFDA), which involves adapting models without access to source data, is both demanding and challenging. Existing SFDA techniques typically rely on ps…
SPARNet: Continual Test-Time Adaptation via Sample Partitioning Strategy and Anti-Forgetting Regularization
Xinru Meng, Han Sun, Jiamei Liu +2
Test-time Adaptation (TTA) aims to improve model performance when the model encounters domain changes after deployment. The standard TTA mainly considers the case where the target…