Monocular 3D object detection offers a low-cost route to 3D perception, but it remains fundamentally ill-posed, since depth must be inferred from a single view. Recent transformer-based detectors learn geometry purely from image features and 3D box annotations, lacking the high-level semantic priors that vision-languag...
K. Vu, Cao Le Minh Khoa, Nguyen Viet Tri Pham et al.· 0 citations
Vision-and-Language Navigation (VLN) policies increasingly benefit from strong semantic priors provided by large vision-language models (VLMs). However, standard action supervision does not explicitly encourage intermediate representations to preserve scene geometry, relative orientation, or global episode progress. In...
Anh Dao, Q. Phạm, Le Danh Vinh et al.· 0 citations
Bounded navigation-aware retention preserves navigation performance while considerably reducing GFM-KV memory relative to larger-memory temporal retention, which support jointly examining the geometric representations exposed to the policy and the historical evidence retained for future inference.
Q. Phạm, Anh Dao, Danh Vinh Le et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.