2 papers
cs.LG2026
Self-Supervised Learning from Structural Invariance
Yipeng Zhang, Hafez Ghaemi, Jungyoon Lee +3
Joint-embedding self-supervised learning (SSL), the key paradigm for unsupervised representation learning from visual data, learns from invariances between semantically-related dat…
cs.CV2025
Scalpel-SAM: A Semi-Supervised Paradigm for Adapting SAM to Infrared Small Object Detection
Zihan Liu, Xiangning Ren, Dezhang Kong +2
Infrared small object detection urgently requires semi-supervised paradigms due to the high cost of annotation. However, existing methods like SAM face significant challenges of do…