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OccM3D-SS: Bridging Sparse Supervision With Dense 3D Perception via Semi-Supervised Occupancy Learning
Monocular 3D object detection faces inherent challenges in reconstructing accurate 3D spatial structures from 2D images due to the lack of depth cues. Existing paradigms either struggle with limited 3D representation capability, e.g. depth estimation pipeline, or rely heavily on fine-grained supervision annotations, e....
Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning
This work proposes a novel zero-shot video captioning framework (WSV) consisting of two training stages, which first generates corresponding synthetic video latent representations via a pretrained text-to-video generation model, and designs a polisher capable of bridging the gap between real and synthetic video distrib...