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SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency
Zeqing Wang, Kangye Ji, Di Wang +2
Segment Anything Model (SAM) struggles in open-world scenarios with diverse domains. In such settings, naive fine-tuning with a well-designed learning module is inadequate and ofte…
Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection
Ke Li, Fuyu Dong, Di Wang +4
Remote sensing change detection aims to perceive changes occurring on the Earth's surface from remote sensing data in different periods, and feed these changes back to humans. Howe…
NIV-SSD: Neighbor IoU-Voting Single-Stage Object Detector From Point Cloud
Shuai Liu, Di Wang, Quan Wang +1
Previous single-stage detectors typically suffer the misalignment between localization accuracy and classification confidence. To solve the misalignment problem, we introduce a nov…
A comprehensive framework for occluded human pose estimation
Linhao Xu, Lin Zhao, Xinxin Sun +3
Occlusion presents a significant challenge in human pose estimation. The challenges posed by occlusion can be attributed to the following factors: 1) Data: The collection and annot…
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation
Xiaoqi An, Lin Zhao, Chen Gong +3
High-resolution representation is essential for achieving good performance in human pose estimation models. To obtain such features, existing works utilize high-resolution input im…