Search papers, labs, and topics across Lattice.
4
0
3
0
CamoShift is the first to target both visual stealthiness and attack success in visible-infrared object detection, and is the first to target both visual stealthiness and attack success in visible-infrared object detection.
ACT is the first framework to study semi-supervised VIOD under this image-pair-level setting and forms consensus pseudo labels under pair-preserving views to recover branch-wise misses and supervise unlabeled pairs.
JFRDet achieves state-of-the-art performance in visible-infrared object detection by explicitly addressing severe geometric misalignment and illumination variability.
Pruning 50% of channels in RGB-infrared object detectors can actually boost performance by 0.6% mAP, challenging conventional wisdom about redundancy.
