LFX is the first unified framework for light field perception that adapts to heterogeneous representations via a representation-invariant feature modulation space and FoP-ASM, achieving SOTA results on three benchmarks including 84.37 mIoU for segmentation and 0.029/0.027 MAE for detection.
An occlu- sion and noise-aware stereo framework based on light field imaging for robust disparity estimation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
LFX: Towards Unified Light Field Dense Semantic Segmentation and Salient Object Detection
LFX is the first unified framework for light field perception that adapts to heterogeneous representations via a representation-invariant feature modulation space and FoP-ASM, achieving SOTA results on three benchmarks including 84.37 mIoU for segmentation and 0.029/0.027 MAE for detection.